{"chunks":1,"id":"t004","last_seq":0,"rows":[{"i":0,"kind":"meta","long":false,"text":"Reading additional input from stdin...\nOpenAI Codex v0.155.1\n--------\nworkdir: C:\\Users\\Owner\\wsp31_loop\\work\\gpt\nmodel: gpt-6-astra\nprovider: openai\napproval: never\nsandbox: danger-full-access\nreasoning effort: high\nreasoning summaries: concise\nsession id: 01a1d4e3-4f83-74e0-9cd0-1a25f1310c98\n--------"},{"i":1,"kind":"user","long":false,"text":"You are author 'gpt' in the wsp31 weight-editing programme. This is turn 4. Your full instructions are in a brief on host wrx90. First run:  ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/BRIEF.md'  and follow it exactly, working as author 'gpt' (your directory is /home/keith/gemma-v2/wsp31/authors/gpt/). You have 90 minutes of wall-clock time and are stopped at the limit, so finish queue entries one at a time (READY file each) and keep NOTES.md current as you go. Work autonomously: nobody will answer questions during the turn.\n2026-11-13T12:30:30.119614Z ERROR codex_memories_write::phase2: Phase 2 no changes"},{"i":2,"kind":"assistant","long":false,"text":"I\u2019ll read the brief on wrx90, then complete each queue entry and keep NOTES.md current."},{"i":3,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/BRIEF.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":4,"kind":"output","long":true,"text":" succeeded in 255ms:\n# wsp31 author brief (read fully at the start of every turn)\n\nYou are one of three authors (claude, gpt, gemini) taking turns. Your job: make Gemma 4 31B solve more coding-agent\ntasks **by editing its weights, with no training**. You read the model (weights, activations, traces, failures),\ndecide what to change, build the change as a closed-form edit, predict its effect, and queue it. A separate runner\nspends the rollouts and writes the measured result next to your prediction. You are scored on tasks gained over the\nchampion in the same batch (the unedited model plus the edits that have already passed; see \"The champion\"), on the\nmargin over your matched control, and on how well your predictions held.\n\n**Be bold.** Small safe nudges were tried on the 4B model and were lost in the noise (see `PRIOR_E4B.md`). A queue\nslot is cheap; a third variation of a null result is a wasted slot. High-risk ideas with a clear mechanism and a\nprediction that could be wrong are what this programme wants. Say what would prove you wrong.\n\n## Where you work\n\n- Everything happens on host `wrx90`, reached with `ssh -o BatchMode=yes wrx90 '<command>'`. Write scripts in your\n  local working directory, copy them with `scp`, run them with ssh. Keep ssh output small (`tail`, `cut`, `head`).\n- Root: `/home/keith/gemma-v2` (below: `$R`). Python: `$R/tii-venv/bin/python` (torch, transformers, vLLM 0.19.1,\n  peft, safetensors; no scipy). `. $R/env.sh` sets `R` and `PY`.\n[... 190 lines cut ...]\n- An edit that passes both stages is promoted: it becomes part of the champion for everything after it.\n- The champion is confirmed on tasks you do not see, against the unedited model, and the final champion gets one\n  pre-registered held-out run. A changed edit is a new edit.\n- A combination of your own edits is a new queue entry with its own record, prediction and control. Combining with\n  edits that already passed needs nothing from you: that is what the champion does.\n\nSingle-run agent evaluations are noisy by several tasks. An edit worth having shows up as ten or more tasks.\nAim there."},{"i":5,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md; cat /home/keith/gemma-v2/wsp31/queue/STATUS.md; cat /home/keith/gemma-v2/wsp31/queue/CHAMPION.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":6,"kind":"output","long":true,"text":" succeeded in 196ms:\n# Author gpt \u2014 turn 1, 2026-11-12\n\nThree entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay:\n\n- writer-close-amplify-033: 0.330000% whole network, 120 matrices, rank 1. Natural end-versus-early writer projection gain. Prediction -7 to +14 tasks/120.\n- writer-close-amplify-050: 0.500014%, 120 matrices, rank 1. Stronger dose; prediction -12 to +16. Largest tested close dose passing the format checks.\n- writer-close-shift-011: 0.110001%, 120 matrices, rank 1. Common writer component mapped toward the end contrast; prediction -6 to +12.\n\nAll three served edits preserve every top choice at 32 think/tool points across eight check tasks. Served KL: 0.0747 / 0.1615 / 0.0872. These are development probes, not task gains. Runner accepted all three as ledger 0011/0012/0013, queued_s1. No screening score exists yet. Champion files were absent and no edit was promoted: everything uses generation 0.\n\nPinned rebuild code and inputs: code/turn1 (do not overwrite). build.sh writes to scratch/rebuild by default; all six adapter files per entry matched byte for byte. The 43-task b001 snapshot prefers base, then aa, then zero. SHA256 task ordering gives 32 fit / 11 check tasks; no success labels enter directions. Writer means span all 60 layers, o_proj and down_proj. Model weights were never trained; no trained-adapter directions or agent rollouts were used.\n\n[line removed by the dashboard scrubber]\n\n[line removed by the dashboard scrubber]\n\nDeferred, not queued: rank-2 combination close-033 + shift-011, under scratch/candidates/close-combo. Exact edit sum; control sum rescaled per matrix to match its norm. Net change is about 0.282% due to cancellation. Both pass the checker, but no pre-test ran. Two other GPU jobs were ahead; cancelled only my waiting flock before it acquired the lock. scratch/combo_deferred.json records this. A later turn may run pipeline3_job.sh through the documented GPU0 lock after checking its budget. Do not create READY without pre-tests and a record.\n\nFinal audit: code/data/turn1_final_audit.json. GPU holds used 1381 + 686 = 2067 seconds (34m27s); no third hold, no GPU1 use, and no author server remains. Scratch is 421 MB, below 10 GB. All required queue files and hashes passed the final audit; two entries meet the training-size rule. Keep this note under 600 words.\n[... 33 lines cut ...]\n\nWaiting for stage 1: 11. Waiting for stage 2: 0.\n# Champion\n\nGeneration 0: the unedited model. No edit has passed yet.\n\nEvery batch scores an entry against this base: the reference arm is the champion and your edit and control are served as champion + your adapter (exact sum, `wsp31/tools/stack_exact.py`). Your entry is still only your own change (rank 32 or less). An edit that passes both screening stages becomes the next generation."},{"i":7,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'rg -n \"wsp31|WRX90|Base64\" C:/Users/Owner/.codex/memories/MEMORY.md' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":8,"kind":"output","long":false,"text":" succeeded in 27ms:\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n354:## Task 1: Configure AI-agent SSH access on local PC and WRX90, partial\n[line removed by the dashboard scrubber]\n590:- CASMI26, Grok Bot, ownership.json, ROCm, HIP, AMD Radeon RX 9070 XT, run_guarded.py, WRX90, record_codex_takeover.py, P18.001, R01\n638:- symptom: `ownership.json` or `cuda:0` is treated as runtime enforcement -> fix: before a GPU launch verify `torch.version.hip` and the exact AMD device name; `run_guarded.py` can launch arbitrary commands and legacy WRX90/remote launchers are out of bounds. [Task 1]\n780:# Task Group: WRX90 disk audit and verification-gated cleanup\n782:scope: audit WRX90 SSD consumption, present exact deletion candidates for approval, and execute only approved cleanup with preservation and live-workload verification; use for remote storage cleanup or follow-up capacity planning\n783:applies_to: cwd=WRX90 remote-cleanup family (including C:\\Users\\Owner\\Documents\\Codex\\2026-09-12\\ne and C:\\Users\\Owner\\Documents\\Codex\\2026-11-06\\please-delete-these-folders-on-wrx90); reuse_rule=reuse the approval, preservation, live-reference, scheduled-restart, and verification gates for comparable WRX90 cleanup, but re-audit current host state, protected workloads, mounts, restart mechanisms, and exact targets before any deletion\n785:## Task 1: Audit WRX90 disk usage and optionize cleanup, success\n793:- WRX90, wrx90-blackwell, disk-audit, WD_BLACK SN8100, 99% full, workstation-runs, Docker mounts, /tmp tmpfs, nvidia-smi driver/library mismatch\n815:## Task 4: Delete six requested WRX90 folders with live-use verification, success\n823:- WRX90, wrx90-blackwell, /home/keith/arc2_rl, RL watchdog, failsafe lock, crontab, /proc, Docker mounts, device/inode, deletion-receipt.jsonl, finish-receipt.jsonl\n834:- `wrx90` resolves to `wrx90-blackwell` through the configured dedicated-identity SSH alias. On this host, direct SSH one-liners or Base64-encoded bounded scripts avoid PowerShell-to-Bash heredoc CRLF/BOM quoting failures. [Task 1]\n847:- symptom: inline PowerShell/SSH script fails with `Python SyntaxError: unexpected character after line continuation character` -> use a Base64-encoded bounded script over stdin. [Task 4]\n[line removed by the dashboard scrubber]\n918:- mdlARC, mdlarc-data/TRAINING.md, 50/50 original/new sampling, synthetic examples, task embeddings, per-task test-time training, TTT, NVARC, supplied demonstrations, augmentation/voting, GPU1, WRX90\n928:- mdlARC, DeepLoop, deeploop, arXiv:[port].13491, shared repeated transformer blocks, normalization, residual scaling, initialization, 120 public ARC2 tasks, GPU1, WRX90, mdlarc-data/TRAINING.md\n941:- GPU1 on WRX90 is the only authorized GPU. Preserve current baseline training and queued evaluation; the DeepLoop run waits for GPU1 to release. The detailed plan is `mdlarc-data/TRAINING.md`, including \u201cAgreed architecture experiment: DeepLoop adapted to mdlARC\u201d; live state remains time-sensitive. [Task 1][Task 2] [ad-hoc note]"},{"i":9,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/LEDGER.md; ls /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/ledger; cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/PRIOR_E4B.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":10,"kind":"output","long":true,"text":" succeeded in 214ms:\n# Ledger index (generated by tools/ledger.py index; do not edit by hand)\n\nRead this before proposing anything. A row marked `null` or `harmful` is not to be retried unless the new\nrecord says what is different and why that difference should matter.\n\n| id | date | author | track | title | set / batch | status | verdict | result |\n|---|---|---|---|---|---|---|---|---|\n| [0001](ledger/0001-claude-unedited-baseline-noise-floor.md) | 2026-11-12 | claude | baseline | Unedited 31B on the screening set, two passes (base rate and identical-arm noise) | wsp31_screen_v1 / s1_base | done | inconclusive | stopped at 59 of 720 episodes; 54% ended at the session limit at concurrency 16 |\n| [0002](ledger/0002-claude-state-of-the-art-survey.md) | 2026-11-12 | claude | survey | Survey of training-free weight editing to November 2026, with 20 ranked edit ideas for 31B | - / - | done | n/a | reports/2026-11-12-weight-editing-survey.md |\n| [0003](ledger/0003-claude-identical-arms-batch-noise-floor.md) | 2026-11-12 | claude | baseline | Three identical-weight arms in one batch (base rate, noise floor, adapter-path check, runner shakedown) | wsp31_screen_v1 / b001 | done | n/a | base 60, aa 60, zero 65 of 120; d 11.3 tasks per identical pair; bars +3 / -6 / +4 / +5 / +10 / -10 |\n| [0004](ledger/0004-claude-size-of-real-training-updates.md) | 2026-11-12 | claude | baseline | How far real training moves the weights (size reference for edits) | - / - | done | n/a | research/wsp31/tools/train_size.py (numbers below) |\n| [0005](ledger/0005-claude-tools-lane-edit-toolchain.md) | 2026-11-12 | claude | tools | Tools lane (31B edit toolchain: exact loader and forward pass, LoRA builders, checker, pre-tests, champion support) | wsp31_screen_v1 / - | running | - | research/wsp31/edit_tools/REPORT.md |\n| [0006](ledger/0006-claude-interp-lane-readers-failure-modes-directions.md) | 2026-11-12 | claude | interp | Interpretability lane (can LLMs read the weights; failure modes; per-layer directions for training-sized edits) | wsp31_screen_v1 / - | running | - | research/wsp31/interp/REPORT.md |\n| [0007](ledger/0007-claude-deep-gate-b01-end-neurons-x9.md) | 2026-11-12 | claude | edit | Deep-thought gate (dose 0.1) plus the model s own end-of-thought neurons at 9 times their write | wsp31_screen_v1 / - | queued | - | - |\n| [0008](ledger/0008-claude-deep-thought-gate-g3-b03.md) | 2026-11-12 | claude | edit | Deep-thought gate: one neuron per layer 30-48 detects depth >= 800 inside a thought and writes the end-of-thought state (dose 0.3) | wsp31_screen_v1 / b002 | running | - | - |\n[line removed by the dashboard scrubber]\n| [0010](ledger/0010-claude-early-gate-b01-end-neurons-x9.md) | 2026-11-12 | claude | edit | Early deep-thought gate (fitted on depth >= 400, dose 0.1) plus own end-of-thought neurons x9: the strong dose of the gated family | wsp31_screen_v1 / - | queued | - | - |\n| [0011](ledger/0011-gpt-writer-close-amplify-033.md) | 2026-11-12 | gpt | edit | Amplify natural thought-ending writes across all layers at 0.33 percent | wsp31_screen_v1 / b002 | running | - | - |\n| [0012](ledger/0012-gpt-writer-close-amplify-050.md) | 2026-11-12 | gpt | edit | Amplify natural thought-ending writes across all layers at 0.50 percent | wsp31_screen_v1 / b003 | running | - | - |\n[... 91 lines cut ...]\n1. Development gains of 3 to 5 tasks of 170 did not survive held-out data. Single-run agent evaluation noise is\n   several tasks; a held-out test of +5 of 130 needs about 790 tasks x 3 rollouts for 80% power. Hence larger\n   screening sets, replication before confirmation, and a separate confirmation tier before golden.\n2. Two servers with the same weights differed by 11.7 tasks in one run. Arms are compared only within a server.\n3. Greedy decoding was not repeatable run to run on the serving stack. Identical-arm noise is measured, not assumed.\n4. Early batches flattered an edit (+4.3) and later ones did not (+1.1). Replication is part of the pass rule.\n5. S\n[... 200 characters cut ...]"},{"i":11,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/ledger/00*.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":12,"kind":"output","long":true,"text":" succeeded in 235ms:\n---\nid: 0001\ndate: 2026-11-12\nauthor: claude\ntrack: baseline\ntitle: Unedited 31B on the screening set, two passes (base rate and identical-arm noise)\nstatus: done\nset: wsp31_screen_v1\nbatch: s1_base\nverdict: inconclusive\nresult: stopped at 59 of 720 episodes; 54% ended at the session limit at concurrency 16\n---\n\n## Hypothesis\n\nNo edit. This record measures what every later edit is compared with: the unedited model's solve rate on the 360\nscreening tasks, how often the same weights give a different outcome on the same task, and the size of a paired\ndifference between two identical arms. The screening pass rule is fixed from these numbers.\n\n[... 3507 lines cut ...]\n[line removed by the dashboard scrubber]\n\n## Amendment (13 Nov 2026, 1:31 AM ET)\n\nFormat only: the front-matter `result` line was reworded (\"of |mlp_out|\" to \"of the size of mlp_out\") because the\ncharacter | broke the ledger index (`ledger.py check`). No number or statement changed.\n\n**Optimizing document handling**"},{"i":13,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/tools/TOOLS.md; cat /home/keith/gemma-v2/wsp31/tools/ARCH.md; cat /home/keith/gemma-v2/wsp31/interp/REPORT.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":14,"kind":"output","long":true,"text":" succeeded in 227ms:\n# wsp31 tools for edit authors\n\nChangelog (newest first; times US Eastern):\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n  the first version got -1.4 to +0.65 of the wanted move). **Pre-test defaults: the complete b001 sets** (section 6).\n- Fri 13 Nov, 12:39 AM: speed with repeats (trap 12): **the server's rank limit sets the price of an adapter**.\n- Thu 12 Nov: 11:40 PM first served runs of `dose.py`, `validate.py`, `vgen.py`, `closeprobe.py`; 10:55 PM stacks\n  of rank 34 to 96 applied as written; 10:30 PM **thought-end pre-tests need exact contexts**, rank limits 64 or 128\n  (never 96); 10:00 PM champion support, network-wide builders; 8:36 PM first version. Earlier commands all still work.\n\nEverything here lives in `$R/wsp31/tools` (below `$T`; `$R = /home/keith/gemma-v2`). Each entry ends with\n**Verified by** (a measurement that was made) or **NOT VERIFIED YET** (written, first real run still queued; use it,\nbut do not build a claim on its numbers alone). Architecture facts are in `$T/ARCH.md` (read \"Consequences for\nweight edits\" there before designing an edit); measurements with commands are in `$T/REPORT.md`.\n\n    . /home/keith/gemma-v2/env.sh; T=$R/wsp31/tools\n    export WSP31_WORK=$R/wsp31/authors/<you>/scratch     # caches and server logs of the tools go here, not into $T\n\n[... 1746 lines cut ...]\n  the tools lane has since marked as an older harness. Those packs are not used. Ground truth will be re-measured\n  on `tools/data/probe_screen.jsonl` before any reader sees a C or D item.\n- The agy reader: no family-A answer and no scale-up answer (amendment 4a); at about 9 minutes per call and with\n  half of the calls empty it is still inside the family-B pilot, in the fixed order of amendment 2, and is\n  reported with its n. Every verdict of section 4 is for two readers.\n- Priority 4 of the lane (do atlas or reader predictions agree with what edits did in rollouts): eleven entries\n  are queued, none has a stage-1 result yet; predictions and scorer registered (amendments 5 to 5d, section\n  3.6)."},{"i":15,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'sed -n \\\"/\"'^## A/,/''^## B/p; /''^## C/,/''^## D/p\" /home/keith/gemma-v2/tii-wsp31-doc/reports/2026-11-12-weight-editing-survey.md'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":16,"kind":"output","long":false,"text":" exited 1 in 228ms:\nsed: -e expression #1, char 4: unterminated address regex\nbash: line 1: /^##: No such file or directory\n\n**Avoiding truncation during download**"},{"i":17,"kind":"assistant","long":false,"text":"The champion is still the unedited model. My three earlier entries are accepted; two are running and one is waiting. Most queued edits aim to shorten thoughts or trigger edits sooner. I\u2019m checking other failure patterns before choosing this turn\u2019s entries."},{"i":18,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'New-Item -ItemType Directory -Force turn4 | Out-Null"},{"i":19,"kind":"output","long":true,"text":"scp wrx90:/home/keith/gemma-v2/wsp31/tools/TOOLS.md wrx90:/home/keith/gemma-v2/wsp31/tools/ARCH.md wrx90:/home/keith/gemma-v2/wsp31/interp/REPORT.md wrx90:/home/keith/gemma-v2/tii-wsp31-doc/reports/2026-11-12-weight-editing-survey.md turn4/\nGet-Content turn4/ARCH.md' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 1062ms:\n# Gemma 4 31B (QAT w4a16) architecture, as served\n\nSource: `config.json` and the safetensors header of `/home/keith/gemma-v2/models/gemma-4-31b-it-qat-w4a16-ct`\n(one file, 23.27 GB, 2009 tensors) and the vLLM 0.19.1 model code that serves it\n(`vllm/model_executor/models/gemma4.py`). The lane's forward pass `g31.py` implements exactly this graph; its\nagreement with the server is measured in `REPORT.md`.\n\n## Sizes\n\n| item | value |\n|---|---|\n| layers | 60 |\n| residual width d | 5376 |\n| MLP width | 21504 neurons per layer (4 d), gated: `gelu_tanh(gate . x) * (up . x)` |\n| attention heads | 32 query heads per layer |\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[... 119 lines cut ...]\nDecision points labelled in the probe sets (`probeset.py`): the position *after which* the model decides.\n\n[line removed by the dashboard scrubber]\n|---|---|---|\n| `turn` | newline after `<|turn>model` | think first (`<|channel>`) or call a tool at once |\n| `step` | `<tool_response|>` that closes a tool result | think, call another tool, or answer in text |\n| `think` | `<channel|>` that closes a thought | call a tool or write text |\n[line removed by the dashboard scrubber]"},{"i":20,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'find /home/keith/gemma-v2/wsp31/authors/gpt/code -maxdepth 3 -type f; ls -lh /home/keith/gemma-v2/wsp31/tools/data; free -g; lslocks -o COMMAND,PID,PATH | head -15'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":21,"kind":"output","long":true,"text":" succeeded in 251ms:\n/home/keith/gemma-v2/wsp31/authors/gpt/code/close033_record.json\n/home/keith/gemma-v2/wsp31/authors/gpt/code/audit_boundary.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/author_capture.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/build_project.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/audit_snapshot.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/non_split.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/probe_job.sh\n/home/keith/gemma-v2/wsp31/authors/gpt/code/boundary_probe.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/refine_select.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/freeze_code.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/geom_summary.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/served_job.sh\n/home/keith/gemma-v2/wsp31/authors/gpt/code/update_frozen_manifest.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/pipeline_job.sh\n/home/keith/gemma-v2/wsp31/authors/gpt/code/pipeline2_job.sh\n/home/keith/gemma-v2/wsp31/authors/gpt/code/data/episodes.jsonl\n/home/keith/gemma-v2/wsp31/authors/gpt/code/data/refine_selection.json\n/home/keith/gemma-v2/wsp31/authors/gpt/code/data/capture.pt\n[... 128 lines cut ...]\npipewire           3157 /run/user/1000/pipewire-0.lock\npipewire           3157 /run/user/1000/pipewire-0-manager.lock\ndockerd            3797 /...\ncontainerd         3053 /...\nnvidia-persiste    2736 /run/snapd/ns...\ncron               2742 /run/snapd/ns...\n\n**Assessing GPU availability constraints**"},{"i":22,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'Get-Content turn4/TOOLS.md | Select-Object -Skip 220"},{"i":23,"kind":"output","long":true,"text":"Get-Content turn4/2026-11-12-weight-editing-survey.md | Select-Object -First 240' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 75ms:\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\nreports p(close) at both per depth band; `replay.py` scores whole logged answers. `think` points of the\n[line removed by the dashboard scrubber]\n\n    flock $R/wsp31/gpu0.lock timeout 1500 $PY $T/closeprobe.py --adapter queue/my-slug/edit --out close_edit.json\n\nThe other probes use the labelled decision points of the default set (section 6; `--traces 12 --per-trace 8\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n--alpha X`, `--project-out`. ACTIVE means \"moves the distribution without wrecking it\", not \"better\"; no probe\nverdict has yet been compared with a rollout result. `dose.py` serves one edit at each whole-network size and\nreports per dose the change at decision points, well-formed tool calls, repetition, empty turns, unclosed thinking\nand speed, ending with \"largest coherent dose\". Delete the causal base cache (`$WSP31_WORK/data/cache`) when done.\n\n[line removed by the dashboard scrubber]\n    $PY $T/wv_neuron.py 40 1234 [--layers 38-42]         # norms, write lens, read lens, nearest neurons\n[... 297 lines cut ...]\n8. **Side-effect and safety battery** run automatically: IFEval/IFBench, a general-knowledge check, refusal and misalignment probes, and the cross-effect forecast (Ong et al.).\n9. **Hidden evaluator returning verdicts only:** the author never sees test tasks; verdicts follow wsplab's categories. Multi-run paired evaluation per task (Bjarnason), reporting pass@1 means with CIs, pass@k and pass^k, and harmful-flip counts.\n10. **Prediction ledger.** You already require predictions before measurement. Add pre-registered success criteria in Concept Country's style and a fixed family of comparisons for multiplicity control (see E).\n11. **Donor-analysis tools** for idea 4: LoRA canonicalisation (QR then SVD, as in W2T), per-matrix spectra, DFC or crosscoder diffing against the base, and DARE/TIES/Selective-RL operators.\n12. **Parallel authors plus aggregation.** Anthropic's super-agent went from 13% to 42%. wsplab found councils lift the weakest member but do not beat the strongest. Run several authors, select on dev only, confirm once on test.\n\n---"},{"i":24,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'head -100 /home/keith/gemma-v2/wsp31/tools/g31.py; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/build_project.py; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/probe_project.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":25,"kind":"output","long":true,"text":" succeeded in 243ms:\n\"\"\"g31: loader, dequantiser and hooked dense forward pass for Gemma 4 31B (QAT w4a16, compressed-tensors\npack-quantized checkpoint), written to mirror what vLLM 0.19.1 computes when it serves that checkpoint with\n--dtype bfloat16 (vllm/model_executor/models/gemma4.py). Library for the wsp31 tools lane; see ARCH.md and REPORT.md.\n\nConventions: \"mod\" is one of q_proj k_proj v_proj o_proj gate_proj up_proj down_proj. Global (full-attention)\nlayers have no v_proj tensor in the checkpoint: vLLM loads k_proj into both the K and the V slot, so\nweight(l, \"v_proj\") returns the k_proj weight there. All weights are returned as bf16 [out, in].\n\"\"\"\nimport json\nimport math\nimport os\nimport struct\n\nimport torch\nimport torch.nn.functional as F\n\nR = \"/home/keith/gemma-v2\"\nMODEL_DIR = f\"{R}/models/gemma-4-31b-it-qat-w4a16-ct\"\nLM = \"model.language_model.\"\n[... 204 lines cut ...]\n            print(str(d),'CAUSAL',json.dumps(r['summary']),r['verdict'],flush=True)\n        r=target(m,str(d),limit=args.max_pos,traces=args.traces)\n        json.dump(r,open(d.parent/(d.name+'_target.json'),'w'),indent=2)\n        print(str(d),'TARGET',json.dumps(r['summary']),flush=True)\n\nif __name__=='__main__':main()\n\n**Tracking time elapsed**"},{"i":26,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'sed -n 100,380p /home/keith/gemma-v2/wsp31/tools/g31.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":27,"kind":"output","long":true,"text":" succeeded in 221ms:\n    return F.gelu(x, approximate=\"tanh\")\n\n\nclass Adapter:\n    \"\"\"A PEFT LoRA adapter in the arena format, as {(layer, mod): (A [r, in] bf16, B*alpha/r [out, r] bf16)}.\"\"\"\n\n    def __init__(self, path, device=\"cuda:0\"):\n        from safetensors.torch import load_file\n        cfg = json.load(open(os.path.join(path, \"adapter_config.json\")))\n        self.scale = cfg[\"lora_alpha\"] / cfg[\"r\"]\n        sd = load_file(os.path.join(path, \"adapter_model.safetensors\"))\n        self.mods = {}\n        for k in sd:\n            if not k.endswith(\"lora_A.weight\"):\n                continue\n            parts = k.split(\".\")\n            l, mod = int(parts[parts.index(\"layers\") + 1]), parts[-3]\n            a = sd[k].to(device=device, dtype=BF)\n            b = (sd[k.replace(\"lora_A\", \"lora_B\")].float() * self.scale).to(device=device, dtype=BF)\n[... 254 lines cut ...]\n        out = []\n        for s in range(0, self.emb.shape[0], 32768):\n            out.append(F.linear(hp.float(), self.emb[s:s + 32768].float()))\n        return torch.cat(out, dim=-1)\n\n\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]"},{"i":28,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command '$s=Get-Content turn4/2026-11-12-weight-editing-survey.md -Encoding utf8"},{"i":29,"kind":"output","long":true,"text":"$a=($s | Select-String '\"'\"'^## C'\"\\\\.' ).LineNumber\n\"'$b=($s | Select-String '\"'\"'^## D'\"\\\\.' ).LineNumber\n\"'$s[($a-1)..($b-2)]\nGet-Content turn4/REPORT.md -Encoding utf8 | Select-Object -First 160' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 76ms:\n## C. Ranked edit ideas for raising a Gemma 4 31B coding agent's held-out solve rate (no training)\n\nRanking is by my estimate of expected held-out gain times probability of a clean confirmation. That estimate is mine, not a sourced figure. \"Bake\" means compile into your rank-32 LoRA-shaped adapter or a gated quiet-neuron write.\n\n| # | Idea | Motivating source | Data needed | Risk |\n|---|---|---|---|---|\n| 1 | **Bake TACT's overthinking and overacting axes with a band gate.** Fit OT-vs-CAL and OA-vs-CAL (orthogonalised) at `<channel\\|>` (end of thought) on judge-labelled steps. Implement TACT-Gate's \"subtract excess beyond calibrated band\" as a one-sided gated neuron per top-AUC layer (a GeGLU gate gives a soft threshold). Verify hook-vs-baked equivalence first | TACT (+4.8 avg on Gemma-4-26B-A4B; random and shuffled controls \u22640) | Your failure traces, chunk-labelled by a frontier judge (TACT spent ~$600 for 2k trajectories); activations at end-of-thought | Medium. Only TACT's own evidence; ~3.2% harmful flips; a soft gate is an approximation of the hook |\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n| 4 | **Spectrally filtered donor delta.** Take community gemma-4-31B-it agentic-coding LoRAs. Keep each matrix's dominant singular directions, Frobenius-match magnitude, and DARE/TIES-merge several. Treat the dose \u03b1 as a hyperparameter | Selective-RL (controls beat magnitude-only and random low-rank); fine-tuning transfer; DARE/TIES | Donor LoRAs (verify licence, data, contamination); none are RL-trained | Medium\u2013high. Unknown donor quality. Note: this imports someone else's training, so it is \"training-free for us\" and may need to be reported separately from \"LLM-authored\" |\n| 5 | **Head-level cognitive edits (CREST/ThinkEdit style).** Find heads whose outputs separate productive from unproductive verification and backtracking (or premature \"submit\"); remove or add the component in those heads' o_proj | CREST (up to +17.5%); ThinkEdit (0.2% of params, +3.34%) | Per-head activations at labelled step types | Medium. Shown on math reasoning, not agents |\n| 6 | **Verification / tool-use direction.** One residual direction raising the rate of \"run tests / inspect output\" actions, dosed in the agent loop | Tool-call rates (0\u219290%; QA 0.29\u21920.56); TACT's overacting axis as the counterweight | Contrast of states before tool-call vs no-tool turns | Medium. Too much dose means more steps or timeouts. Pair with idea 1's OA axis |\n| 7 | **RYS middle-block duplication.** Materialise a 61\u201368-layer checkpoint that repeats a contiguous mid block; search (i, j) on dev agent tasks or a proxy (teacher-forced NLL on successful trajectories, plus LCB) | RYS on Qwen3.5-27B | Proxy sweep (cheap), then agent evals | Medium\u2013high. Weak evidence; adds KV cache; counts as an architecture edit for framing |\n| 8 | **Agency-axis nudge at prefill**, so the agent acts rather than defers or stalls (relevant if traces show hedging or asking for confirmation) | Agency axis (d=1.01; decode-only had no effect) | Contrast \"acts\" vs \"asks or stalls\" turns | Medium. Risk of reckless actions; side-effect check needed |\n| 9 | **Behaviour-basis composition with black-box coefficient search.** Build a basis (persistence, verification, brevity, tool-use, format) and let TPE or CMA-ES search coefficients on dev, constrained by KL on held-out chat | Steer2Adapt (+8.2%); Heretic's TPE + KL; Evo-L2S | Basis vectors; dev split; KL reference set | High overfitting risk. Requires strict dev/test isolation |\n[... 174 lines cut ...]\n**Criterion met: yes for claude (T1 Holm p 1.6e-9, T2 Holm p 0.00088) and for codex (T1 Holm p 1.6e-10, T2 Holm p\n0.0021). agy: not run on family A (n 0, Holm p 1; am\n[... 502 characters cut ...]"},{"i":30,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ls -lh /home/keith/gemma-v2/wsp31/interp/dirs/out; ls -lh /home/keith/gemma-v2/wsp31/authors/gemini/code; cat /home/keith/gemma-v2/wsp31/tools/netops.py | head -100; ps -p 1506362 -o pid,etime,args'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":31,"kind":"output","long":true,"text":" succeeded in 238ms:\ntotal 36M\n-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 brief.pt\n-rw-rw-r-- 1 keith keith  65K Nov 12 23:44 close_outcome.json\n-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 close_rendered.pt\n-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 close_thought.pt\n-rw-rw-r-- 1 keith keith 1.1M Nov 13 04:53 dose.json\n-rw-rw-r-- 1 keith keith  78K Nov 13 07:30 dose_eval.json\n-rw-rw-r-- 1 keith keith  19K Nov 13 07:30 dose_eval_hold6_0104.json\n-rw-rw-r-- 1 keith keith 221K Nov 13 00:15 edit_align.json\n-rw-rw-r-- 1 keith keith 449K Nov 13 01:11 edit_align4.json\n-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 finished.pt\n-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 patch.pt\n-rw-rw-r-- 1 keith keith 8.6K Nov 12 23:11 post.json\n-rw-rw-r-- 1 keith keith 3.8K Nov 13 00:30 repeat_var.json\n-rw-rw-r-- 1 keith keith 1.7K Nov 12 23:11 replay_agree.json\n-rw-rw-r-- 1 keith keith  989 Nov 12 23:49 score_pred.json\n-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 solved.pt\n-rw-rw-r-- 1 keith keith  59K Nov 12 23:10 summary.json\n-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 tests_run.pt\n[... 122 lines cut ...]\n    def write_dir(self, layers, D, alpha=1.0, mods=WRITERS, space=\"module\"):\n        \"\"\"For every layer in `layers` and every writer in `mods` (o_proj, down_proj): dW = alpha * P W, with P\n        the projector on the direction(s) D: the matrix writes (1 + alpha) times as strongly along D (alpha = -1\n        removes D from everything it writes). Rank k per matrix. Returns the number of matrices edited.\"\"\"\n        assert space in (\"module\", \"stream\") and set(mods) <= set(WRITERS), (space, mods)\n        n = 0\n    PID     ELAPSED COMMAND\n1506362       03:57 python3 wsp31/queue/runner.py loop"},{"i":32,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp -r wrx90:/home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/ledger turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":33,"kind":"output","long":true,"text":" succeeded in 707ms:\n**Evaluating CPU performance and benchmarking**\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\cpu_bench.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\inspect.py\ndiff --git a/turn4/cpu_bench.py b/turn4/cpu_bench.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..1bb8b5dd7ea9b7a84bb44fabd606668197ee2fe6\n--- /dev/null\n+++ b/turn4/cpu_bench.py\n@@ -0,0 +1,15 @@\n+import sys,time,json,os\n+from pathlib import Path\n+os.environ['CUDA_VISIBLE_DEVICES']=''\n+sys.path.insert(0,'/home/keith/gemma-v2/wsp31/tools')\n+import torch,g31\n+torch.set_num_threads(16)\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')\n+r=json.loads((A/'code/turn4/short_calls.jsonl').read_text().splitlines()[0])\n[... 29 lines cut ...]\n+out=A/'code/turn4';out.mkdir(exist_ok=True);(A/'scratch/turn4').mkdir(exist_ok=True)\n[line removed by the dashboard scrubber]\n+selected=[]\n+for r in rows:\n+    if r['instance'] not in [x['instance'] for x in selected]:selected.append(r)\n+    if len(selected)==12:break\n+(out/'short_calls.jsonl').write_text(''.join(json.dumps(r)+'\\n' for r in selected))\n+print('short selected',[(r['instance'],len(r['ids'])) for r in selected])"},{"i":34,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/inspect.py turn4/cpu_bench.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/"},{"i":35,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/inspect.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n exited 1 in 3041ms:\nschema {'trace': '/home/keith/gemma-v2/results/wsp31/batches/b001/base/rebench/shard0_gpu0/requests/Mimino666__langdetect.a1598f1a.func_basic__rku38xih.jsonl', 'run': '/home/keith/gemma-v2/results/wsp31/batches/b001/base', 'instance': 'Mimino666__langdetect.a1598f1a.func_basic__rku38xih', 'rollout': 0, 'resolved': True, 'call': 0, 'calls_total': 35, 'n': 3485, 'points': [{'pos': 3318, 'kind': 'turn', 'turn': 0, 'next': 100, 'exact': True}, {'pos': 3403, 'kind': 'cont', 'turn': 0, 'next': 107, 'alt': 101, 'depth': 84, 'exact': True}], 'calls': [{'start': 3319, 'comp': [100, 45518, 107, 818, 2430, 563, 13761, 496, 13582, 528, 2165, 10694, 35511, 236786, 13364, 236786, 28546, 236761, 2551, 236929, 1298, 506, 2165, 828, 236779, 2383, 236929, 1292, 563, 76159, 506, 2307, 1680, 3182, 625, 872, 236761, 1174, 563, 14260, 5192, 12692, 531, 5121, 573, 56773, 236764, 565, 29351, 236764, 532, 16403, 236772, 5140, 1816, 236761, 108, 236777, 1202, 531, 236787, 107, 236770, 236761, 138, 4202, 606, 506, 2165, 828, 236779, 2383, 236929, 1292, 528, 2165, 10694, 35511, 236786, 13364, 236786, 28546, 236761, 2551, 21233, 107, 236778, 236761, 138, 81933, 506, 13582, 607, 496, 32029, 8948, 236761, 107, 236800, 236761, 138, 36819, 506, 13582, 684, 18828, 506, 2307, 51674, 236761, 107, 236812, 236761, 138, 81933, 506, 7562, 236761, 108, 6481, 236789, 236751, 1502, 684, 34629, 2165, 10694, 35511, 236786, 13364, 236786, 28546, 236761, 2551, 21233, 101, 48, 6639, 236787, 4503, 236779, 7674, 236782, 7674, 236787, 52, 105527, 753, 50073, 623, 828, 236779, 2383, 236775, 8738, 35511, 236786, 13364, 236786, 28546, 236761, 2551, 52, 236783, 49, 50], 'lp': [-0.00224, -7e-05, -0.00113, -0.00029, -0.03474, -0.13705, -0.00059, -0.06204, -1e-05, -0.00063, -4e-05, -0.00196, -0.0, -0.00021, -0.0, -0.0, -0.0, -0.0, -0.0, -0.01196, -0.49176, -0.03538, -0.00012, -0.0, -0.0, -0.0, -0.0, -0.0, -0.16929, -0.12618, -0.03609, -0.00558, -4e-05, -0.3194, -0.0001, -0.0, -0.16235, -0.14289, -0.37172, -0.41687, -0.36023, -0.0, -0.11812, -1e-05, -0.00019, -0.48802, -9e-05, -0.42896, -2e-05, -0.07131, -1e-05, -1e-05, -0.00115, -4e-05, -0.10757, -0.00159, -2e-05, -0.1731, -0.00027, -0.0, -0.00404, -0.0, -0.0, -1e-05, -0.50998, -0.89336, -0.0, -0.53881, -2e-05, -7e-05, -0.0, -0.0, -0.0, -0.0, -0.0, -0.00034, -0.0, -0.0, -0.0, -0.0, 0.0, -0.0, -0.0, -0.0, -0.00021, -0.0, -0.0, -1e-05, -0.0, -0.34805, -0.00722, -0.04935, -0.56602, -0.57596, -3e-05, -1e-05, -0.01456, -0.0, -0.0, 0.0, 0.0, -0.00374, -1e-05, -0.03126, -0.0679, -0.00029, -0.00056, -0.27519, -0.00019, -0.10491, -0.0, -0.0, 0.0, -0.0, -0.00031, -3e-05, -0.0, -0.18282, -0.00885, -0.09549, -3e-05, -0.0, -0.00011, -0.0, -0.44384, -0.00679, -0.0, -0.0, -0.0, -0.0, 0.0, -1e-05, -0.0, -0.0, -0.01417, -5e-05, -0.00939, -7e-05, 0.0, -0.63264, 0.0, 0.0, 0.0, -0.0, -0.0, -0.0, -0.00087, 0.0, -0.02858, -0.28124, -0.47409, 0.0, -0.0, -0.0, -0.00028, -0.0, -1e-05, -0.0, -1e-05, -1e-05, 0.0, -0.0, -6e-05, -2e-05, -0.00026, -0.00213]}]}\nshortest [(2597, '[task]', [{'pos': 2510, 'kind': 'turn', 'turn': 0, 'next': 100, 'exact': True}, {'pos': 2533, 'kind': 'cont', 'turn': 0, 'next': 107, 'alt': 101, 'depth': 22, 'exact': True}, {'pos': 2558, 'kind': 'cont', 'turn': 0, 'next': 108, 'alt': 101, 'depth': 47, 'exact': True}, {'pos': 2568, 'kind': 'close', 'turn': 0, 'next': 101, 'depth': 57, 'exact': True}, {'pos': 2569, 'kind': 'think', 'turn': 0, 'next': 48, 'exact': True}, {'pos': 2572, 'kind': 'tool', 'turn': 0, 'next': 4503, 'exact': True}]), (2597, '[task]', [{'pos': 2510, 'kind': 'turn', 'turn': 0, 'next': 100, 'exact': True}, {'pos': 2533, 'kind': 'cont', 'turn': 0, 'next': 107, 'alt': 101, 'depth': 22, 'exact': True}, {'pos': 2558, 'kind': 'cont', 'turn': 0, 'next': 108, 'alt': 101, 'depth': 47, 'exact': Tru\n[... 6570 characters cut ...]"},{"i":36,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'mv /home/keith/gemma-v2/wsp31/authors/gpt/code/inspect.py /home/keith/gemma-v2/wsp31/authors/gpt/code/t4_inspect.py; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/t4_inspect.py | tail -9; nohup /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/cpu_bench.py > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/cpu_bench.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":37,"kind":"output","long":true,"text":" succeeded in 2689ms:\nshortest [(2597, '[task]', [{'pos': 2510, 'kind': 'turn', 'turn': 0, 'next': 100, 'exact': True}, {'pos': 2533, 'kind': 'cont', 'turn': 0, 'next': 107, 'alt': 101, 'depth': 22, 'exact': True}, {'pos': 2558, 'kind': 'cont', 'turn': 0, 'next': 108, 'alt': 101, 'depth': 47, 'exact': True}, {'pos': 2568, 'kind': 'close', 'turn': 0, 'next': 101, 'depth': 57, 'exact': True}, {'pos': 2569, 'kind': 'think', 'turn': 0, 'next': 48, 'exact': True}, {'pos': 2572, 'kind': 'tool', 'turn': 0, 'next': 4503, 'exact': True}]), (2597, '[task]', [{'pos': 2510, 'kind': 'turn', 'turn': 0, 'next': 100, 'exact': True}, {'pos': 2533, 'kind': 'cont', 'turn': 0, 'next': 107, 'alt': 101, 'depth': 22, 'exact': True}, {'pos': 2558, 'kind': 'cont', 'turn': 0, 'next': 108, 'alt': 101, 'depth': 47, 'exact': True}, {'pos': 2568, 'kind': 'close', 'turn': 0, 'next': 101, 'depth': 57, 'exact': True}, {'pos': 2569, 'kind': 'think', 'turn': 0, 'next': 48, 'exact': True}, {'pos': 2572, 'kind': 'tool', 'turn': 0, 'next': 4503, 'exact': True}]), (2597, '[task]', [{'pos': 2510, 'kind': 'turn', 'turn': 0, 'next': 100, 'exact': True}, {'pos': 2533, 'kind': 'cont', 'turn': 0, 'next': 107, 'alt': 101, 'depth': 22, 'exact': True}, {'pos': 2558, 'kind': 'cont', 'turn': 0, 'next': 108, 'alt': 101, 'depth': 47, 'exact': True}, {'pos': 2568, 'kind': 'close', 'turn': 0, 'next': 101, 'depth': 57, 'exact': True}, {'pos': 2569, 'kind': 'think', 'turn': 0, 'next': 48, 'exact': True}, {'pos': 2572, 'kind': 'tool', 'turn': 0, 'next': 4503, 'exact': True}])]\ncpu \t: AMD Ryzen Threadripper PRO 9965WX 24-Cores\nsolved {'dir': [60, 5376], 'null': [60, 5376], 'meta': \"{'contrast': 'solved', 'rule': 'agent: mean resid_post over sampled step/think/tool points with pos <= 12000', 'fit': 'tasks with int(sha1(instance_id)[:8],16) % 5 in {0,1,2}', 'fit_pos': 40, 'fit_neg': 50, 'mean_stream_norm': [54.424983978271484, 88.19987487792969, 90.83570098876953, 100.04291534423828, 102.07543182373047, 126.77530670166016, 148.49903869628906, 171.09335327148438, 176.35101318359375, 188.70538330078125, 199.91693115234375, 199.9829864501953, 208.65821838378906, 211.77540588378906, 214.4144287109375, 233.529541015625, 239.0442657470703, 243.07464599609375, 246.5853729248047, 258.50054931640625, 276.90850830078125, 284.8358459472656, 283.77777099609375, 265.7115783691406, 261.2030944824219, 254.0216827392578, 245.90682983398438, 233.29420471191406, 238.9365234375, 230.15379333496094, 252.86683654785156, 280.94097900390625, 295.7278747558594, 300.7291564941406, 305.7607116699219, 289.146484375, 266.5569763183594, 244.59828186035156, 203.87847900390625, 159.10560607910156, 146.53369140625, 151.9341278076172, 148.5267333984375, 134.13233947753906, 125.64791870117188, 120.00555419921875, 114.93238067626953, 118.30601501464844, 120.79288482666016, 114.4439468383789, 103\", 'resid.0': [5376], 'resid.1': [5376], 'resid.2': [5376], 'resid.3': [5376], 'resid.4': [5376], 'resid.5': [5376], 'resid.6': [5376], 'resid.7': [5376], 'resid.8': [5376], 'resid.9': [5376], 'resid.10': [5376], 'resid.11': [5376], 'resid.12': [5376], 'resid.13': [5376], 'resid.14': [5376], 'resid.15': [5376], 'resid.16': [5376], 'resid.17': [5376], 'resid.18': [5376], 'resid.19': [5376], 'resid.20': [5376], 'resid.21': [5376], 'resid.22': [5376], 'resid.23': [5376], 'resid.24': [5376], 'resid.25': [5376], 'resid.26': [5376], 'resid.27': [5376], 'resid.28': [5376], 'resid.29': [5376], 'resid.30': [5376], 'resid.31': [5376], 'resid.32': [5376], 'resid.33': [5376], 'resid.34': [5376], 'resid.35': [5376], 'resid.36': [5376], 'resid.37': [5376], 'resid.38': [5376], 'resid.39': [5376], 'resid.40': [5376], 'resid.41': [5376], 'resid.42': [5376], 'resid.43': [5376], 'resid.44': [5376], 'resid.45': [5376], 'resid.46': [5376], 'resid.47': [5376], 'resid.48': [5376], 'resid.49': [5376], 'resid.50': [5376], 'resid.51': [5376], 'resid.52': [5376], 'resid.53': [5376], 'r\n[... 10405 characters cut ...]"},{"i":38,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'Get-ChildItem turn4/ledger/00*.md | ForEach-Object { $s=Get-Content $_ -Raw -Encoding utf8; $h=[regex]::Match($s,'\"'(?s)## Hypothesis\\\\s*(.*?)## Exact recipe').Groups[1].Value; Write-Output (\"'$_.Name + \"`n\" + $h) }' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":39,"kind":"output","long":true,"text":" succeeded in 85ms:\n0001-claude-unedited-baseline-noise-floor.md\nNo edit. This record measures what every later edit is compared with: the unedited model's solve rate on the 360\nscreening tasks, how often the same weights give a different outcome on the same task, and the size of a paired\ndifference between two identical arms. The screening pass rule is fixed from these numbers.\n\n\n0002-claude-state-of-the-art-survey.md\nNot an experiment. A literature search (a Claude sub-agent, about 180 tool calls) over LLM-authored weight edits,\nsteering baked into weights, model editing, task arithmetic and merging, weight-space interpretability, training-free\ngains on agentic coding, tooling, and evaluation practice.\n\n\n0003-claude-identical-arms-batch-noise-floor.md\nNo edit. Three arms with the same weights run side by side on one server, in the configuration every screening\nbatch will use, so that the noise is measured under the load that edits will be judged under:\n\n- `base`: the model under its first served name;\n- `aa`: the same model under its second served name (`gemma-4-31b`);\n- `zero`: the model through an adapter whose delta is exactly zero on all seven module types of all 60 layers\n[... 336 lines cut ...]\n+    if len(selected)==12:break\n+(out/'short_calls.jsonl').write_text(''.join(json.dumps(r)+'\\n' for r in selected))\n+print('short selected',[(r['instance'],len(r['ids'])) for r in selected])\n\n**Designing content-focused model improvements**\n**Optimizing read chunk parameters**\n\nI\u2019m refining how many lines the model reads to improve efficiency and reasoning clarity, experimenting with numbers like 20 versus 100. I want to combine precise diagnostics with mechanistic analysis to better fit outputs and manage CPU resources during late-layer model calculations."},{"i":40,"kind":"assistant","long":false,"text":"GPU 0 is serving a screening batch. I\u2019ll leave it alone and benchmark the documented forward pass on CPU. The trace report points to wrong patches as the larger failure group, so I\u2019m also examining how the model reads and uses file text."},{"i":41,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/cpu_bench.log; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/author_capture.py | head -155; head -100 /home/keith/gemma-v2/wsp31/authors/gemini/code/inspect_wrong_patch.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":42,"kind":"output","long":true,"text":" succeeded in 237ms:\nloaded 0.01056218147277832\nlayer0_seconds 1.5179193019866943 length 2597\nimport os, sys, json, hashlib, time\nfrom pathlib import Path\nimport torch\nA=Path('/home/keith/gemma-v2/wsp31/authors/gpt')\nT=str(A/'code/tool_snapshot')\nsys.path.insert(0,T)\nimport g31\ntorch.set_num_threads(8)\n\ndef spread(xs,n):\n    return xs if len(xs)<=n else [xs[round(i*(len(xs)-1)/(n-1))] for i in range(n)]\n\ndef classes(r,limit=11000,n=64):\n    ids=r['ids'][:limit]; groups={k:[] for k in ['early','late','end','non','think','tool']}\n    depth=None\n    for p,t in enumerate(ids[:-1]):\n        if t==100: depth=0\n[... 116 lines cut ...]\n            if not tested_since_edit: no_test_after_last_edit += 1\n\n    print(f\"=== {grp.upper()} (n={n_tot}) ===\")\n    print(f\"  ran_pytest/unittest: {ran_pytest}/{n_tot} ({100*ran_pytest/max(1,n_tot):.1f}%)\")\n    print(f\"  last_pytest_still_failing_at_submit: {last_pytest_failed}/{n_tot} ({100*last_pytest_failed/max(1,n_tot):.1f}%)\")\n    print(f\"  submitted_with_plenty_of_budget (tc<=18, dur<=300s): {sub_early}/{n_tot} ({100*sub_early/max(1,n_tot):.1f}%)\")\n    print(f\"  no_test_after_last_edit: {no_test_after_last_edit}/{n_tot}\")\n    print(f\"  tools_after_first_edit per ep: \" + \", \".join(f\"{k}:{v/max(1,n_tot):.2f}\" for k,v in tool_counts_after_edit.most_common()))"},{"i":43,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'Get-Content turn4/ledger/0016-gemini-rumination-damp-r2-net.md -Encoding utf8 | Select-Object -First 95' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":44,"kind":"output","long":true,"text":" succeeded in 86ms:\n---\nid: 0016\ndate: 2026-11-12\nauthor: gemini\ntrack: edit\ntitle: Subtractive rank-2 deep-rumination attractor damping across all 280 mid-to-late modules (0.36%)\nstatus: queued\nset: wsp31_screen_v1\nbatch: -\nverdict: -\nresult: -\n---\n\n## Hypothesis\n\n[line removed by the dashboard scrubber]\n\nWhy this differs from `PRIOR_E4B.md` and queued entries `0007`--`0013`:\n[line removed by the dashboard scrubber]\n[... 217 lines cut ...]\n+        if not r['resolved'] and (reads or errors):\n[line removed by the dashboard scrubber]\n+        readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)\n+out=A/'code/turn4';out.mkdir(exist_ok=True)\n+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))\n+print('counts',tot.most_common(30))\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]"},{"i":45,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/trace_audit.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":46,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/trace_audit.py; tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/cpu_bench.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 7739ms:\n[line removed by the dashboard scrubber]\nREAD_FAILURE {\"instance\": \"[task]\", \"arm\": \"aa\", \"tool_calls\": 30, \"duration\": 292.57, \"patch_chars\": 0, \"reads\": [[1, \"{\\\"filepath\\\": \\\"curator/api/utils.py\\\", \\\"start_line\\\": 80, \\\"end_line\\\": 120}\"], [3, \"{\\\"filepath\\\": \\\"curator/cli/cli.py\\\"}\"], [4, \"{\\\"filepath\\\": \\\"curator/cli/cli.py\\\", \\\"start_line\\\": 101}\"], [6, \"{\\\"filepath\\\": \\\"curator/cli/__init__.py\\\"}\"], [7, \"{\\\"filepath\\\": \\\"curator/cli/utils.py\\\"}\"], [8, \"{\\\"filepath\\\": \\\"curator/cli/alias.py\\\"}\"], [9, \"{\\\"filepath\\\": \\\"curator/api/utils.py\\\", \\\"start_line\\\": 160, \\\"end_line\\\": 170}\"], [10, \"{\\\"end_line\\\": 160, \\\"filepath\\\": \\\"curator/api/utils.py\\\", \\\"start_line\\\": 140}\"], [11, \"{\\\"end_line\\\": 330, \\\"filepath\\\": \\\"curator/api/utils.py\\\", \\\"start_line\\\": 320}\"], [12, \"{\\\"end_line\\\": 35, \\\"filepath\\\": \\\"curator/api/alias.py\\\", \\\"start_line\\\": 25}\"], [13, \"{\\\"end_line\\\": 25, \\\"filepath\\\": \\\"curator/api/alias.py\\\", \\\"start_line\\\": 15}\"], [14, \"{\\\"end_line\\\": 15, \\\"filepath\\\": \\\"curator/api/alias.py\\\", \\\"start_line\\\": 1}\"], [15, \"{\\\"end_line\\\": 350, \\\"filepath\\\": \\\"curator/api/filter.py\\\", \\\"start_line\\\": 340}\"], [16, \"{\\\"end_line\\\": 340, \\\"filepath\\\": \\\"curator/api/filter.py\\\", \\\"start_line\\\": 320}\"], [17, \"{\\\"end_line\\\": 320, \\\"filepath\\\": \\\"curator/api/filter.py\\\", \\\"start_line\\\": 310}\"], [18, \"{\\\"end_line\\\": 20, \\\"filepath\\\": \\\"curator/api/show.py\\\", \\\"start_line\\\": 1}\"], [19, \"{\\\"end_line\\\": 85, \\\"filepath\\\": \\\"curator/cli/utils.py\\\", \\\"start_line\\\": 75}\"], [20, \"{\\\"filepath\\\": \\\"curator/cli/show.py\\\"}\"], [21, \"{\\\"filepath\\\": \\\"curator/cli/index_selection.py\\\"}\"], [22, \"{\\\"end_line\\\": 320, \\\"filepath\\\": \\\"curator/api/utils.py\\\", \\\"start_line\\\": 310}\"], [23, \"{\\\"end_line\\\": 350, \\\"filepath\\\": \\\"curator/api/utils.py\\\", \\\"start_line\\\": 250}\"], [24, \"{\\\"end_line\\\": 200, \\\"filepath\\\": \\\"curator/api/utils.py\\\", \\\"start_line\\\": 100}\"], [25, \"{\\\"end_line\\\": 120, \\\"filepath\\\": \\\"curator/api/utils.py\\\", \\\"start_line\\\": 80}\"], [26, \"{\\\"filepath\\\": \\\"curator/api/alias.py\\\"}\"], [27, \"{\\\"filepath\\\": \\\"curator/api/filter.py\\\"}\"], [28, \"{\\\"end_line\\\": 371, \\\"filepath\\\": \\\"curator/api/filter.py\\\", \\\"start_line\\\": 300}\"], [29, \"{\\\"filepath\\\": \\\"curator/api/show.py\\\"}\"], [30, \"{\\\"filepath\\\": \\\"curator/cli/utils.py\\\"}\"]], \"errors\": [\"{\\\"status\\\": \\\"ok\\\", \\\"filepath\\\": \\\"curator/api/alias.py\\\", \\\"content\\\": \\\"        indices_in_alias = []\\\\n        logger.info('Alias {0} not found.  Creating...'.format(alias))\\\\n    else:\\\\n        indices_in_alias = get_alias(client, alias)\\\\n    if not index_name in indices_in_alias:\\\\n        if index_closed(client, index_name):\\\\n            logger.error('Failed to add index {0} to alias {1} because it is closed.'.format(index_name, alias))\\\\n            return False\\\\n        else:\\\\n            try:\\\\n                client.indices.update_aliases(body={'actions': [{ 'add': { 'index': index_name, 'alias': alias}}]})\\\", \\\"start_line\\\": 25, \\\"end_line\\\": 35, \\\"total_lines\\\": 95, \\\"is_truncated\\\": false}\", \"{\\\"status\\\": \\\"ok\\\", \\\"filepath\\\": \\\"curator/api/alias.py\\\", \\\"content\\\": \\\"    if check_csv(index_name):\\\\n        logger.error(\\\\\\\"Must specify only a single index as an argument.\\\\\\\")\\\\n        return False\\\\n    if not client.indices.exists(index_name):\\\\n        logger.error(\\\\\\\"Index {0} not found.\\\\\\\".format(index_name))\\\\n        return False\\\\n    if not alias: # This prevents _all from being aliased by accident...\\\\n        logger.error('No alias provided.')\\\\n        return False\\\\n    if not client.indices.exists_alias(name=alias):\\\\n        indices_in_alias = []\\\", \\\"start_line\\\": 15, \\\"end_line\\\": 25, \\\"total_lines\\\": 95, \\\"is_truncated\\\": false}\", \"{\\\"status\\\": \\\"ok\\\", \\\"filepath\\\": \\\"curator/api/alias.py\\\",\n[... 27872 characters cut ...]"},{"i":47,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ls -lh /home/keith/gemma-v2/wsp31/interp/dirs; ls -lh /home/keith/gemma-v2/wsp31/authors/gemini/code/data; tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/cpu_bench.log; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn1/SHA256.json | head -8'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":48,"kind":"output","long":true,"text":" succeeded in 221ms:\ntotal 24M\ndrwxrwxr-x 2 keith keith 4.0K Nov 13 07:31 __pycache__\ndrwxrwxr-x 2 keith keith  16K Nov 12 21:59 acts\ndrwxrwxr-x 2 keith keith  16K Nov 12 23:10 acts_close\n-rw-r--r-- 1 keith keith 3.0K Nov 12 22:01 branch.py\n-rw-r--r-- 1 keith keith 8.2K Nov 12 22:01 cap_close.py\n-rw-r--r-- 1 keith keith 4.6K Nov 12 21:14 cap_dp.py\n-rw-r--r-- 1 keith keith 6.1K Nov 12 23:44 close_outcome.py\n-rw-r--r-- 1 keith keith  23K Nov 12 22:14 dirs.py\n-rw-r--r-- 1 keith keith  11K Nov 12 22:04 dose.py\n-rw-r--r-- 1 keith keith  13K Nov 13 00:04 dose2.py\n-rw-r--r-- 1 keith keith 6.6K Nov 13 01:04 dose_eval.py\n-rw-r--r-- 1 keith keith 2.0K Nov 12 21:16 dpts.py\n-rw-rw-r-- 1 keith keith 1.2K Nov 13 07:31 dryrun_score_pred.py\n-rw-r--r-- 1 keith keith 6.6K Nov 12 22:39 edit_align.py\n-rw-r--r-- 1 keith keith 2.6K Nov 12 22:20 end_lens.py\n-rw-r--r-- 1 keith keith 6.3K Nov 12 21:04 epi.py\n-rw-rw-r-- 1 keith keith  86K Nov 12 21:04 episodes.json\n-rw-rw-r-- 1 keith keith 236K Nov 13 00:26 episodes_v2.json\n[... 115 lines cut ...]\n+        readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)\n+out=A/'code/turn4';out.mkdir(exist_ok=True)\n+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))\n+print('counts',tot.most_common(30))\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n\n**Estimating task timing and planning**"},{"i":49,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'head -130 /home/keith/gemma-v2/wsp31/interp/dirs/cap_dp.py; head -140 /home/keith/gemma-v2/wsp31/interp/dirs/repeat_var.py; head -110 /home/keith/gemma-v2/wsp31/interp/dirs/within_task.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":50,"kind":"output","long":true,"text":" succeeded in 231ms:\n\"\"\"cap_dp.py: capture the residual stream at agent decision points for all 60 layers (GPU0, run under the gpu0\nlock; tools lane forward pass g31.G31(mirror=True)). PROTOCOL amendment 3 (items 2, 3) and amendment 3b.\n[line removed by the dashboard scrubber]\nmid_mean {class: [60, d] fp16}, pre0_mean {class: [d] fp16}, counts {class: n},\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\nmeans only (disk limit); directions and the writer split are linear in them.\nResumable (existing files are skipped); stops when --budget_s is used up.\nUsage: python cap_dp.py --probe probe_all.jsonl --episodes episodes.json --budget_s 1400\"\"\"\nimport argparse\nimport collections\nimport hashlib\nimport json\nimport os\nimport sys\nimport time\n\nimport torch\n\n[... 504 lines cut ...]\n+        if not r['resolved'] and (reads or errors):\n[line removed by the dashboard scrubber]\n+        readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)\n+out=A/'code/turn4';out.mkdir(exist_ok=True)\n+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))\n+print('counts',tot.most_common(30))\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]"},{"i":51,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/paired_audit.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":52,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/paired_audit.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 1303ms:\navailable 27 77 mixed 4\nmixed [('[task]', [('[task]', False, True, True), ('[task]', True, False, False), ('[task]', False, True, True)]), ('[task]', [('[task]', False, False, False), ('[task]', True, False, False), ('[task]', True, False, False)]), ('[task]', [('[task]', True, False, False), ('[task]', False, False, True), ('[task]', True, False, False)]), ('django-money__django-money.835c1ab8.combine_module__bqggrnha', [('b001_base__django-money__django-money.835c1ab8.combine_module__bqggrnha', False, True, True), ('b001_aa__django-money__django-money.835c1ab8.combine_module__bqggrnha', True, False, False), ('b001_zero__django-money__django-money.835c1ab8.combine_module__bqggrnha', True, False, False)])]\n[line removed by the dashboard scrubber]\nsample [task] {'close': 3, 'cont': 8, 'step': 4, 'think': 4, 'tool:[port]': 2, 'tool:[port]': 2, 'turn': 1} torch.Size([24, 60, 5376])\nsample [task] {'close': 5, 'cont': 8, 'step': 5, 'think': 6, 'tool:[port]': 4, 'tool:[port]': 2, 'turn': 1} torch.Size([31, 60, 5376])\nsample [task] {'close': 4, 'cont': 8, 'step': 6, 'think': 7, 'tool:[port]': 4, 'tool:[port]': 3, 'turn': 1} torch.Size([33, 60, 5376])\n\ndiff --git a/turn4/cpu_bench.py b/turn4/cpu_bench.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..1bb8b5dd7ea9b7a84bb44fabd606668197ee2fe6\n--- /dev/null\n+++ b/turn4/cpu_bench.py\n@@ -0,0 +1,15 @@\n+import sys,time,json,os\n+from pathlib import Path\n+os.environ['CUDA_VISIBLE_DEVICES']=''\n+sys.path.insert(0,'/home/keith/gemma-v2/wsp31/tools')\n+import torch,g31\n[... 264 lines cut ...]\n+        if not r['resolved'] and (reads or errors):\n[line removed by the dashboard scrubber]\n+        readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)\n+out=A/'code/turn4';out.mkdir(exist_ok=True)\n+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))\n+print('counts',tot.most_common(30))\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]"},{"i":53,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/prepare_fidelity.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":54,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/prepare_fidelity.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 5565ms:\neligible_tasks 16 calls 21\nshortest [('[task]', 4274, [{'prefix': 'call:edit_file{filepath:', 'text': 'src/build/env.py', 'begin': 74, 'end': 82}, {'prefix': '.py<|\"|>,new_string:', 'text': \"            'install',\\n            '--upgrade',\\n            'pip',\\n            'setuptools',\\n       \", 'begin': 88, 'end': 116}, {'prefix': '\\',\\n<|\"|>,old_string:', 'text': \"            'install',\\n            '--upgrade',\\n            '--no-warn-script-location',\\n           \", 'begin': 122, 'end': 162}]), ('[task]', 5088, [{'prefix': 'call:edit_file{filepath:', 'text': 'ross/fluid_flow/fluid_flow.py', 'begin': 302, 'end': 314}, {'prefix': '.py<|\"|>,new_string:', 'text': '        if self.length / (2 * self.radius_stator) <= 1 / 8:\\n            self.bearing_type = \\\\\"short_', 'begin': 320, 'end': 408}, {'prefix': 'size\\\\\"<|\"|>,old_string:', 'text': '        if self.length / self.radius_stator <= 1 / 8:\\n            self.bearing_type = \\\\\"short_bearin', 'begin': 414, 'end': 494}])]\nselected [('fit', '[task]', 4274, 64, 58), ('fit', '[task]', 5088, 164, 276), ('fit', '[task]', 5264, 176, 212), ('fit', '[task]', 5715, 88, 44), ('fit', '[task]', 5761, 164, 196), ('fit', '[task]', 5999, 129, 54), ('check', '[task]', 5397, 25, 64), ('check', '[task]', 5648, 197, 564), ('check', '[task]', 6775, 98, 874)]\n\ndiff --git a/turn4/cpu_bench.py b/turn4/cpu_bench.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..1bb8b5dd7ea9b7a84bb44fabd606668197ee2fe6\n--- /dev/null\n+++ b/turn4/cpu_bench.py\n@@ -0,0 +1,15 @@\n+import sys,time,json,os\n+from pathlib import Path\n+os.environ['CUDA_VISIBLE_DEVICES']=''\n+sys.path.insert(0,'/home/keith/gemma-v2/wsp31/tools')\n+import torch,g31\n+torch.set_num_threads(16)\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')\n+r=json.loads((A/'code/turn4/short_calls.jsonl').read_text().splitlines()[0])\n[... 140 lines cut ...]\n+        readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)\n+out=A/'code/turn4';out.mkdir(exist_ok=True)\n+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))\n+print('counts',tot.most_common(30))\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n\n**Estimating resource usage**"},{"i":55,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/tools/edits.py | head -140; sed -n 100,165p /home/keith/gemma-v2/wsp31/tools/netops.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":56,"kind":"output","long":true,"text":" succeeded in 228ms:\n\"\"\"edits.py: write closed-form weight edits of Gemma 4 31B in Python and pack them as a LoRA adapter (CPU only).\n\n    from edits import EditSet\n    e = EditSet()\n    e.row_add(30, \"gate_proj\", 123, delta)        # dW[123, :] += delta      (what neuron 123 of layer 30 reads)\n    e.col_add(30, \"down_proj\", 123, delta)        # dW[:, 123] += delta      (what it writes)\n    e.neuron(30, 123, up=vec, down=vec2, mode=\"set\")   # replace the neuron's up row and down column outright\n    e.neuron_scale(30, 123, down=0.0)             # ablate the neuron (scale its write by 0)\n    e.add(41, \"o_proj\", U, V)                     # any low-rank term: dW += U @ V, U [out, k], V [k, in]\n    e.save(\"adapters/my_edit\")                    # -> adapter_model.safetensors, adapter_config.json, edit.json\n\nA module's adapter rank is (#edited rows) + (#edited columns) + (sum of k of the low-rank terms); the adapter rank\nis the largest over modules and must not exceed the server's --max-lora-rank (32 by default). Row and column edits\nare exact up to bf16 storage of the delta (8 significant bits per element): the selector factor is a one-hot.\nModules: q_proj k_proj v_proj o_proj gate_proj up_proj down_proj of layers 0..59 (shapes in ARCH.md). The ten global\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n\n[... 601 lines cut ...]\n+        if not r['resolved'] and (reads or errors):\n[line removed by the dashboard scrubber]\n+        readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)\n+out=A/'code/turn4';out.mkdir(exist_ok=True)\n+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))\n+print('counts',tot.most_common(30))\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]"},{"i":57,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/fidelity_worker.py turn4/freeze.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":58,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'bash /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/freeze.sh'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 479ms:\n1588965\n\ndiff --git a/turn4/cpu_bench.py b/turn4/cpu_bench.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..1bb8b5dd7ea9b7a84bb44fabd606668197ee2fe6\n--- /dev/null\n+++ b/turn4/cpu_bench.py\n@@ -0,0 +1,15 @@\n+import sys,time,json,os\n+from pathlib import Path\n+os.environ['CUDA_VISIBLE_DEVICES']=''\n+sys.path.insert(0,'/home/keith/gemma-v2/wsp31/tools')\n+import torch,g31\n+torch.set_num_threads(16)\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')\n+r=json.loads((A/'code/turn4/short_calls.jsonl').read_text().splitlines()[0])\n+t=time.time();m=g31.G31(device='cpu',cache_dense=True)\n+print('loaded',time.time()-t,flush=True)\n[... 236 lines cut ...]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n\n**Estimating CPU capture and testing strategy**\n**Planning offline checks and capture selection**\n**Analyzing code and thought interactions**\n**Detailing model residual adjustments**\n**Reviewing model performance data**"},{"i":59,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\build_fidelity.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\progress_notes.md\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..00e67eeb15c57281a330b3b17a2c9aa30063f0d1\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,58 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path):\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet(champion='current');c=EditSet(champion='current')\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_read'}\n+    for l in range(60):\n+        for mod in mods:\n+            si=['attn_write','mlp_write','attn_read','mlp_read'].index(spaces[mod]);q=D[spaces[mod]];v=q['basis'][l].double();w=q['weight'][l].double();cm=q['common'][l].double()\n+            gen=torch.Generator().manual_seed(314000+100*l+si)\n+            z=torch.randn((4,5376),generator=gen,dtype=torch.float64)\n+            z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T\n+            W=e.W(l,mod)\n+            if family=='writers':\n+                e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)\n+            else:\n+                e.add(l,mod,([email]().T)*w.float(),v.float());c.add(l,mod,([email]().T)*w.float(),z.float())\n+        if l%10==9:print('BUILD',family,l+1,flush=True)\n+    e.scale_to(per_matrix=1.,net_rel=dose);c.match_sizes(e)\n+    path=Path(path);assert not (path/'READY').exists()\n+    for arm,obj in [('edit',e),('ctrl',c)]:\n+        obj.save(str(path/arm),note={'family':family,'rank':4,'net_target':dose,'seed':314000,\n+          'directions_sha256':hashlib.sha256((C/'fidelity_directions.pt').read_bytes()).hexdigest(),\n+          'formula':'positive spectral \n[... 16729 characters cut ...]"},{"i":60,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/build_fidelity.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":61,"kind":"output","long":true,"text":"scp turn4/progress_notes.md wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md\nssh -o BatchMode=yes wrx90 'tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; du -sh /home/keith/gemma-v2/wsp31/authors/gpt/scratch'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 736ms:\n427M\t/home/keith/gemma-v2/wsp31/authors/gpt/scratch\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..00e67eeb15c57281a330b3b17a2c9aa30063f0d1\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,58 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n[... 315 lines cut ...]\n+out=A/'code/turn4';out.mkdir(exist_ok=True)\n+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))\n+print('counts',tot.most_common(30))\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n\n**Analyzing error patterns and verification methods**\n**Examining covariance and performance metrics**"},{"i":62,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; ps -p 1588965 --ppid 1588965 -o pid,etime,pcpu,rss,args; free -g'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":63,"kind":"output","long":true,"text":" succeeded in 251ms:\n    PID     ELAPSED %CPU   RSS COMMAND\n1588965       01:53  0.0  8192 timeout 5100 /home/keith/gemma-v2/tii-venv/bin/python fidelity_worker.py\n1588967       01:53 1356 70356096 /home/keith/gemma-v2/tii-venv/bin/python fidelity_worker.py\n               total        used        free      shared  buff/cache   available\nMem:             183          80          34           1          71         103\nSwap:              7           0           7\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..00e67eeb15c57281a330b3b17a2c9aa30063f0d1\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,58 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n[... 733 lines cut ...]\n+        if not r['resolved'] and (reads or errors):\n[line removed by the dashboard scrubber]\n+        readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)\n+out=A/'code/turn4';out.mkdir(exist_ok=True)\n+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))\n+print('counts',tot.most_common(30))\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]"},{"i":64,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/prepare_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":65,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'nohup /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/prepare_entry.py code-writer-r4-033 --wait > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_033.log 2>&1 < /dev/null & echo \"'$!; tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 512ms:\n1608211\nCAPTURE 0 fit [task] seconds 122.6\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..00e67eeb15c57281a330b3b17a2c9aa30063f0d1\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,58 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n[... 841 lines cut ...]\n+        if not r['resolved'] and (reads or errors):\n[line removed by the dashboard scrubber]\n+        readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)\n+out=A/'code/turn4';out.mkdir(exist_ok=True)\n+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))\n+print('counts',tot.most_common(30))\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]"},{"i":66,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/check_baselines.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":67,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/check_baselines.py; tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 1798ms:\n{\"all\": {\"n\": 69, \"mean_abs_error\": 0.0029727030167830543, \"max_abs_error\": 0.08569061920166016, \"top_match\": 1.0}, \"code\": {\"n\": 32, \"mean_abs_error\": 0.004132629742585915, \"max_abs_error\": 0.08569061920166016, \"top_match\": 1.0}, \"thought\": {\"n\": 32, \"mean_abs_error\": 0.001934174392397856, \"max_abs_error\": 0.01934288924694061, \"top_match\": 1.0}, \"decision\": {\"n\": 5, \"mean_abs_error\": 0.0021957551677100175, \"max_abs_error\": 0.008709728050231957, \"top_match\": 1.0}}\npossible_address_files []\nCAPTURE 0 fit [task] seconds 122.6\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..00e67eeb15c57281a330b3b17a2c9aa30063f0d1\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,58 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n[... 431 lines cut ...]\n[line removed by the dashboard scrubber]\n\n**Reviewing memory usage and output planning**\n**Tuning CPU backend and evaluating code fit**\n\nI\u2019m calibrating the CPU backend without GPU using baseline logs and checking code generation validity from traces. I want to quantify the baseline code\u2019s likelihoods and spot if improvements truly reflect better code or just noise, testing various dose levels to find the sweet spot for effective code fitting.\n**Analyzing task queue and tool safety**\n**Reviewing frozen tools and dependencies**"},{"i":68,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'head -70 /home/keith/gemma-v2/wsp31/tools/champ.py; head -65 /home/keith/gemma-v2/wsp31/tools/adapters.py; tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":69,"kind":"output","long":true,"text":" succeeded in 238ms:\n#!/usr/bin/env python\n\"\"\"champ.py info | path | maxrank [--champion current|DIR] | stack EDIT_DIR [--champion current|DIR] [--out DIR]\nThe champion is the adapter that holds every promoted edit (wsp31/queue/champion.json, written by the runner; this\ntool only reads it). While one exists the runner serves the reference arm as the champion and every edit and control\nas champion + entry, stacked exactly by stack_exact.py. This file gives the pre-test tools the same view:\n`info` prints the current generation, its adapter and rank; `path` the champion directory (or none); `maxrank` prints the --max-lora-rank a server needs for\nchampion + a rank-32 entry, rounded up to a value vLLM accepts (32, 64, 128; what gpu0_session.sh --champion sets;\n`roundrank N` rounds any rank the same way); `stack` writes champion + EDIT_DIR with the\nrunner's own stack_exact.py (cached by content under $WSP31_WORK/data/champ) and prints the directory.\nAs a library: resolve(arg) -> champion directory or None (\"current\" reads the runner's file; None, \"none\" and\ngeneration 0 mean the unedited model), stacked(champion, edit) -> directory to serve, serve_ref(port, champion) ->\nmodel name of the reference arm (\"base\", or the champion loaded under a content-hash name). CPU only except\nserve_ref. A champion named in the environment variable WSP31_CHAMPION is the default of every --champion option.\"\"\"\nimport hashlib\nimport json\nimport os\nimport shutil\nimport subprocess\nimport sys\n[... 1034 lines cut ...]\n+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']\n+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+'  '+str(p.relative_to(T))+'\\n' for p in files))\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)"},{"i":70,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/trim_snapshot.py turn4/freeze.sh turn4/build_fidelity.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":71,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/trim_snapshot.py; cat /home/keith/gemma-v2/wsp31/queue/champion.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n exited 1 in 781ms:\nsnapshot kept ['adapters.py', 'champ.py', 'edits.py', 'g31.py', 'netops.py', 'stack_exact.py'] removed unused files 63\npossible_address_files []\ncat: /home/keith/gemma-v2/wsp31/queue/champion.json: No such file or directory\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..fd416d7a482891a8ea898b15add09efe198ca08b\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,60 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n[... 927 lines cut ...]\n+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']\n+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+'  '+str(p.relative_to(T))+'\\n' for p in files))\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)"},{"i":72,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/build_fidelity.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":73,"kind":"output","long":true,"text":" succeeded in 288ms:\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n[... 970 lines cut ...]\n+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']\n+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+'  '+str(p.relative_to(T))+'\\n' for p in files))\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)"},{"i":74,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/edit_error_audit.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":75,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/edit_error_audit.py; tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 6791ms:\n{\n  \"counts\": {\n    \"edit_calls\": 700,\n    \"status:ok\": 541,\n    \"status:missing\": 110,\n    \"status:error\": 49,\n    \"error:match\": 34,\n    \"error:other\": 15\n  },\n  \"examples\": [\n    {\n      \"instance\": \"Mimino666__langdetect.a1598f1a.lm_rewrite__dk9wx21q\",\n      \"arm\": \"base\",\n      \"call\": 19,\n      \"error\": \"{'status': 'error', 'error_type': 'FileEditError', 'error_message': \\\"Failed to replace: old_string not found. Ensure you're not escaping content incorrectly and check whitespace, indentation, and context.\\\", 'budget_warning': 'Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon.'}\"\n    },\n    {\n      \"instance\": \"PyCQA__flake8.cf1542ce.lm_rewrite__yh5du3ns\",\n[... 589 lines cut ...]\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)\n\n**Analyzing escape sequence handling**\n**Evaluating MLP activation and unescaping**\n**Analyzing escape and decoding errors**\n**Managing queue finalization process**"},{"i":76,"kind":"assistant","long":false,"text":"The stricter trace audit found 34 string-match errors among 700 edit calls; 110 calls had no captured response. The larger claim\u2014that a code/prose contrast improves patch correctness\u2014remains unproven. I\u2019ll use replay to check code likelihood and formatting, and leave task gains to screening."},{"i":77,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -110 /home/keith/gemma-v2/wsp31/tools/train_size.py; tail -6 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":78,"kind":"output","long":true,"text":" succeeded in 206ms:\nimport statistics as st\nimport sys\n\nimport torch\nfrom safetensors import safe_open\nfrom safetensors.torch import load_file\n\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n\n\ndef load(d):\n    c = json.load(open(os.path.join(d, \"adapter_config.json\")))\n    s = c[\"lora_alpha\"] / (c[\"r\"] ** 0.5 if c.get(\"use_rslora\") else c[\"r\"])\n    mods = {}\n    for k, t in load_file(os.path.join(d, \"adapter_model.safetensors\")).items():\n[line removed by the dashboard scrubber]\n        if m:\n            mods.setdefault(f\"{m.group(1)}.{m.group(2)}\", {})[m.group(3)] = t.double()\n[... 1211 lines cut ...]\n+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']\n+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+'  '+str(p.relative_to(T))+'\\n' for p in files))\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)"},{"i":79,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":80,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'tail -6 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 501ms:\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n[... 577 lines cut ...]\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)\n\n**Analyzing model fitting and rebuild details**\n**Reviewing ledger and memory usage**"},{"i":81,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/check_baselines.py; tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_033.log; tail -7 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":82,"kind":"output","long":true,"text":" succeeded in 1678ms:\n{\"all\": {\"n\": 279, \"mean_abs_error\": 0.003259997110536662, \"max_abs_error\": 0.10209744129180909, \"top_match\": 0.996415770609319}, \"code\": {\"n\": 128, \"mean_abs_error\": 0.001260456991231892, \"max_abs_error\": 0.08569061920166016, \"top_match\": 1.0}, \"thought\": {\"n\": 128, \"mean_abs_error\": 0.004616982639086571, \"max_abs_error\": 0.10209744129180909, \"top_match\": 0.9921875}, \"decision\": {\"n\": 23, \"mean_abs_error\": 0.006835953093868064, \"max_abs_error\": 0.09657805891036986, \"top_match\": 1.0}}\npossible_address_files []\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n[... 1200 lines cut ...]\n+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']\n+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+'  '+str(p.relative_to(T))+'\\n' for p in files))\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)"},{"i":83,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/deadline_guard.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":84,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'nohup /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/deadline_guard.py > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/deadline_guard.log 2>&1 < /dev/null & echo \"'$!; tail -6 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 517ms:\n1645764\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\nCAPTURE 4 fit [task] seconds 137.2\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n[... 601 lines cut ...]\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)\n\n**Analyzing lightweight dose scout workflow**\n**Checking memory usage**"},{"i":85,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":86,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_033.log; du -sh /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":87,"kind":"output","long":true,"text":" succeeded in 219ms:\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\nCAPTURE 4 fit [task] seconds 137.2\n405M\t/home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n[... 1216 lines cut ...]\n+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']\n+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+'  '+str(p.relative_to(T))+'\\n' for p in files))\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)"},{"i":88,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; tail -10 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_033.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":89,"kind":"output","long":true,"text":" succeeded in 215ms:\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\nCAPTURE 4 fit [task] seconds 137.2\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n[... 1223 lines cut ...]\n+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']\n+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+'  '+str(p.relative_to(T))+'\\n' for p in files))\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)"},{"i":90,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/prepare_entry.py turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":91,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'tail -6 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; tail -8 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_033.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 523ms:\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\nCAPTURE 4 fit [task] seconds 137.2\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n[... 601 lines cut ...]\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)\n\n**Updating prepare script timing**"},{"i":92,"kind":"assistant","long":true,"text":"The code/prose labels do not distinguish correct code from wrong code. One fit call failed, and several successful edits needed the harness\u2019s unescape fallback. I\u2019ve recorded that limit so the replay results cannot be mistaken for evidence of better patch correctness.\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_read'}\n+    for l in range(60):\n+        for mod in mods:\n+            si=['attn_write','mlp_write','attn_read','mlp_read'].index(spaces[mod]);q=D[spaces[mod]];v=q['basis'][l].double();w=q['weight'][l].double();cm=q['common'][l].double()\n+            gen=torch.Generator().manual_seed(314000+100*l+si)\n+            z=torch.randn((4,5376),generator=gen,dtype=torch.float64)\n+            z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T\n+            W=e.W(l,mod)\n+            if family=='writers':\n+                e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)\n+            else:\n+                e.add(l,mod,([email]().T)*w.float(),v.float());c.add(l,mod,([email]().T)*w.float(),z.float())\n+        if l%10==9:print('BUILD',family,l+1\n[... 36807 characters cut ...]"},{"i":93,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -7 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; tail -12 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_033.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":94,"kind":"output","long":true,"text":" succeeded in 238ms:\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\nCAPTURE 4 fit [task] seconds 137.2\nCAPTURE 5 fit [task] seconds 137.7\nOK edit: 120 modules changed (of 120 present), r=4, max |dW|_F/|W|_F 0.008458 at 36.down_proj\n\nOK ctrl: 120 modules changed (of 120 present), r=4, max |dW|_F/|W|_F 0.008451 at 9.o_proj\n\nedit {\"r\": 4, \"scale\": 2.0, \"changed\": 120, \"of\": 420, \"net_rel\": 0.0033, \"rel_median\": 0.00845, \"rel_min\": 0.008439, \"rel_max\": 0.008458, \"rel_max_mod\": \"36.down_proj\", \"total_rel\": 0.00845, \"total_fro\": 6.805, \"stable_rank_median\": 1.066, \"part_rank_median\": 1.894}\n  by type {'down_proj': 0.00845, 'o_proj': 0.00845}\n  by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]\nctrl {\"r\": 4, \"scale\": 2.0, \"changed\": 120, \"of\": 420, \"net_rel\": 0.0033, \"rel_median\": 0.008451, \"rel_min\": 0.00845, \"rel_max\": 0.008451, \"rel_max_mod\": \"9.o_proj\", \"total_rel\": 0.00845, \"total_fro\": 6.806, \"stable_rank_median\": 1.149, \"part_rank_median\": 2.307}\n  by type {'down_proj': 0.00845, 'o_proj': 0.00845}\n  by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]\n\nQUEUED_PRETEST code-writer-r4-033\n\n[... 613 lines cut ...]\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)\n\n**Reviewing brief notes on models and data**"},{"i":95,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'head -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_033.log; cat /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/jobs.json; ls -l /home/keith/gemma-v2/wsp31/authors/gpt/queue/code-writer-r4-033'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":96,"kind":"output","long":true,"text":" succeeded in 224ms:\nFIT {\"attn_write\": {\"mean_kept\": 0.912021426653303, \"mean_split_cos\": 0.6959660097837294}, \"mlp_write\": {\"mean_kept\": 0.8893076846387413, \"mean_split_cos\": 0.6335064478244401}, \"attn_read\": {\"mean_kept\": 0.8847715256010162, \"mean_split_cos\": 0.6444383970996316}, \"mlp_read\": {\"mean_kept\": 0.868878174528602, \"mean_split_cos\": 0.6177564774943733}}\n\nBUILD writers 10\nBUILD writers 20\nBUILD writers 30\n[{\"name\": \"code-writer-r4-033-edit\", \"adapter\": \"/home/keith/gemma-v2/wsp31/authors/gpt/queue/code-writer-r4-033/edit\", \"indices\": [6, 7]}, {\"name\": \"code-writer-r4-033-ctrl\", \"adapter\": \"/home/keith/gemma-v2/wsp31/authors/gpt/queue/code-writer-r4-033/ctrl\", \"indices\": [6, 7]}]total 108\n-rw-rw-r-- 1 keith keith   216 Nov 13 07:50 build.log\n-rw-rw-r-- 1 keith keith   258 Nov 13 07:50 build.sh\ndrwxrwxr-x 2 keith keith  4096 Nov 13 07:50 ctrl\n-rw-rw-r-- 1 keith keith    90 Nov 13 07:50 ctrl_check.txt\ndrwxrwxr-x 2 keith keith  4096 Nov 13 07:50 edit\n-rw-rw-r-- 1 keith keith    94 Nov 13 07:50 edit_check.txt\n-rw-rw-r-- 1 keith keith 26686 Nov 13 07:50 geometry.json\n-rw-rw-r-- 1 keith keith  5012 Nov 13 07:50 record.md\n-rw-rw-r-- 1 keith keith 44260 Nov 13 07:50 size.json\n-rw-rw-r-- 1 keith keith   802 Nov 13 07:50 size.txt\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\n[... 613 lines cut ...]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)\n\n**Analyzing model projection fits**\n**Optimizing pretest timing**\n**Analyzing code verification and resource use**"},{"i":97,"kind":"assistant","long":true,"text":"The first adapter and control pass the checker. Each changes 120 matrices at 0.33% of the whole network. The fitted code/prose directions are consistent across two halves of the six fit tasks, with mean cosines of 0.63\u20130.70 for the writers. Check-task replay will show whether that consistency survives.\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_read'}\n+    for l in range(60):\n+        for mod in mods:\n+            si=['attn_write','mlp_write','attn_read','mlp_read'].index(spaces[mod]);q=D[spaces[mod]];v=q['basis'][l].double();w=q['weight'][l].double();cm=q['common'][l].double()\n+            gen=torch.Generator().manual_seed(314000+100*l+si)\n+            z=torch.randn((4,5376),generator=gen,dtype=torch.float64)\n+            z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T\n+            W=e.W(l,mod)\n+            if family=='writers':\n+                e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)\n+            else:\n+                e.add(l,mod,([email]().T)*w.float(),v.float());c.add(l,mod,([email]().T)*w.float(),z.float())\n+        \n[... 36842 characters cut ...]"},{"i":98,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -9 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; du -sh /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":99,"kind":"output","long":true,"text":" succeeded in 232ms:\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\nCAPTURE 4 fit [task] seconds 137.2\nCAPTURE 5 fit [task] seconds 137.7\nCAPTURE 6 check [task] seconds 131.8\n554M\t/home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n[... 1253 lines cut ...]\n+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']\n+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+'  '+str(p.relative_to(T))+'\\n' for p in files))\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)"},{"i":100,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/contrast_check.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":101,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/contrast_check.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 2075ms:\n{\"attn_write\": [{\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.6076587954417045, \"mean_gap\": 0.2706975470942109}], \"mlp_write\": [{\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.5755248196558753, \"mean_gap\": 0.2204935041162342}], \"attn_read\": [{\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.5563172085464925, \"mean_gap\": 0.3181388841232033}], \"mlp_read\": [{\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.5301751473706329, \"mean_gap\": 0.30629786511225277}]}\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n[... 1926 lines cut ...]\n+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']\n+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+'  '+str(p.relative_to(T))+'\\n' for p in files))\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)"},{"i":102,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":103,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'tail -9 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 531ms:\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\nCAPTURE 4 fit [task] seconds 137.2\nCAPTURE 5 fit [task] seconds 137.7\nCAPTURE 6 check [task] seconds 131.8\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n[... 631 lines cut ...]\n+print('snapshot kept',sorted(keep),'removed unused files',len(removed))\n+bad=[]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)\n\n**Updating user comment timestamp**"},{"i":104,"kind":"assistant","long":true,"text":"On the first check task, the code/prose contrast has the same sign as the fit contrast at all 60 layers. Replay of the edited model is still pending. The measured 0.33% network change reaches about 0.85% in each writer matrix; both values will appear in the record.\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_read'}\n+    for l in range(60):\n+        for mod in mods:\n+            si=['attn_write','mlp_write','attn_read','mlp_read'].index(spaces[mod]);q=D[spaces[mod]];v=q['basis'][l].double();w=q['weight'][l].double();cm=q['common'][l].double()\n+            gen=torch.Generator().manual_seed(314000+100*l+si)\n+            z=torch.randn((4,5376),generator=gen,dtype=torch.float64)\n+            z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T\n+            W=e.W(l,mod)\n+            if family=='writers':\n+                e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)\n+            else:\n+                e.add(l,mod,([email]().T)*w.float(),v.float());c.add(l,mod,([email]().T)*w.float(),z.float())\n+        if l%10==9:print('BUILD',family,l+1,fl\n[... 38366 characters cut ...]"},{"i":105,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -10 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; ps -p 1588967 -o etime,pcpu,rss'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":106,"kind":"output","long":true,"text":" succeeded in 222ms:\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\nCAPTURE 4 fit [task] seconds 137.2\nCAPTURE 5 fit [task] seconds 137.7\nCAPTURE 6 check [task] seconds 131.8\nCAPTURE 7 check [task] seconds 133.1\n    ELAPSED %CPU   RSS\n      18:06 1332 77923056\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n[... 635 lines cut ...]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)\n\n**Analyzing code and tool usage constraints**\n**Checking for local AGENTS files**\n**Analyzing CPU and matrix resource usage**"},{"i":107,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/contrast_check.py; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/check_baselines.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":108,"kind":"output","long":true,"text":" succeeded in 3058ms:\n{\"attn_write\": [{\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.6076587954417045, \"mean_gap\": 0.2706975470942109}, {\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.6220254233331557, \"mean_gap\": 0.14310429751078338}], \"mlp_write\": [{\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.5755248196558753, \"mean_gap\": 0.2204935041162342}, {\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.5286343329804508, \"mean_gap\": 0.09948103032118165}], \"attn_read\": [{\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.5563172085464925, \"mean_gap\": 0.3181388841232033}, {\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.5408939972248028, \"mean_gap\": 0.166199603096484}], \"mlp_read\": [{\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.5301751473706329, \"mean_gap\": 0.30629786511225277}, {\"instance\": \"[task]\", \"layers_positive\": 60, \"mean_cos\": 0.5242365792217402, \"mean_gap\": 0.1593301699445767}]}\n{\"all\": {\"n\": 550, \"mean_abs_error\": 0.004743508398582898, \"max_abs_error\": 0.3749822057533264, \"top_match\": 0.9945454545454545}, \"code\": {\"n\": 249, \"mean_abs_error\": 0.0022512153731921113, \"max_abs_error\": 0.3749822057533264, \"top_match\": 0.9959839357429718}, \"thought\": {\"n\": 256, \"mean_abs_error\": 0.0072531513825052855, \"max_abs_error\": 0.11193953332900997, \"top_match\": 0.9921875}, \"decision\": {\"n\": 45, \"mean_abs_error\": 0.004257116386097885, \"max_abs_error\": 0.09657805891036986, \"top_match\": 1.0}}\npossible_address_files []\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n[... 628 lines cut ...]\n+for p in C.rglob('*'):\n+    if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:\n+        if re.search(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])',p.read_text(errors='replace')):bad.append(str(p.relative_to(C)))\n+print('possible_address_files',bad)\n\n**Summarizing progress and planning notes update**\n\nI\u2019m tracking detailed timing on pretests, builds, and dose decisions, trying to balance ratios and model fits. There\u2019s complexity around handling multiple writers and readers with varying weights, plus ensuring stable notes and updates without preserving outdated data. I\u2019m planning a writer function to capture live results and finalize progress notes cleanly after the first milestone, minimizing intermediate output for the user."},{"i":109,"kind":"assistant","long":true,"text":"Both replay-check tasks show the fitted contrast at every layer, with mean direction cosines around 0.53\u20130.62. Those measurements support the code/prose distinction, but say nothing yet about better code. Baseline capture is finishing; next are the first edit and its matched control.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\update_notes.py\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_read'}\n+    for l in range(60):\n+        for mod in mods:\n+            si=['attn_write','mlp_write','attn_read','mlp_read'].index(spaces[mod]);q=D[spaces[mod]];v=q['basis'][l].double();w=q['weight'][l].double();cm=q['common'][l].double()\n+            gen=torch.Generator().manual_seed(314000+100*l+si)\n+            z=torch.randn((4,5376),generator=gen,dtype=torch.float64)\n+            z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T\n+            W=e.W(l,mod)\n+            if family=='writers':\n+                e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)\n+            else:\n+                e.add(l,mod,([email]().T)*w.float(),\n[... 41704 characters cut ...]"},{"i":110,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/update_notes.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":111,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/update_notes.py; tail -10 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 530ms:\nnotes_words 365 ready 0 pending 1\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\nCAPTURE 4 fit [task] seconds 137.2\nCAPTURE 5 fit [task] seconds 137.7\nCAPTURE 6 check [task] seconds 131.8\nCAPTURE 7 check [task] seconds 133.1\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n[... 665 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Finalizing data capture and verification**"},{"i":112,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -12 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/check_baselines.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":113,"kind":"output","long":true,"text":" succeeded in 1749ms:\nCAPTURE 0 fit [task] seconds 122.6\nCAPTURE 1 fit [task] seconds 121.2\nCAPTURE 2 fit [task] seconds 121.7\nCAPTURE 3 fit [task] seconds 128.1\nCAPTURE 4 fit [task] seconds 137.2\nCAPTURE 5 fit [task] seconds 137.7\nCAPTURE 6 check [task] seconds 131.8\nCAPTURE 7 check [task] seconds 133.1\nCAPTURE 8 check [task] seconds 157.4\n{\"all\": {\"n\": 622, \"mean_abs_error\": 0.004748821943342278, \"max_abs_error\": 0.3749822057533264, \"top_match\": 0.9935691318327974}, \"code\": {\"n\": 281, \"mean_abs_error\": 0.0020017066171714925, \"max_abs_error\": 0.3749822057533264, \"top_match\": 0.99644128113879}, \"thought\": {\"n\": 288, \"mean_abs_error\": 0.0070230576510491105, \"max_abs_error\": 0.11193953332900997, \"top_match\": 0.9930555555555556}, \"decision\": {\"n\": 53, \"mean_abs_error\": 0.006955605393048369, \"max_abs_error\": 0.10163527408599848, \"top_match\": 0.9811320754716981}}\npossible_address_files []\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n[... 1347 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Monitoring for new comments**"},{"i":114,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":115,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; ps -p 1588967 -o etime,pcpu,rss'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":116,"kind":"output","long":true,"text":" succeeded in 233ms:\nCAPTURE 4 fit [task] seconds 137.2\nCAPTURE 5 fit [task] seconds 137.7\nCAPTURE 6 check [task] seconds 131.8\nCAPTURE 7 check [task] seconds 133.1\nCAPTURE 8 check [task] seconds 157.4\n    ELAPSED %CPU   RSS\n      21:25 1329 79071168\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n[... 1346 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":117,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":118,"kind":"output","long":true,"text":" succeeded in 221ms:\nCAPTURE 5 fit [task] seconds 137.7\nCAPTURE 6 check [task] seconds 131.8\nCAPTURE 7 check [task] seconds 133.1\nCAPTURE 8 check [task] seconds 157.4\nPROBE code-writer-r4-033-edit 6 seconds 131.4\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n[... 660 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Tracking probe progress**"},{"i":119,"kind":"assistant","long":true,"text":"The first edit has finished one of its two replay calls. The second call and matched control remain. The CPU jobs are within the memory limit and have left both screening GPUs untouched.\n\n**Analyzing rotation and gating techniques**\n**Evaluating reader variant configurations**\n**Analyzing MLP gating and record handling**\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_read'}\n+    for l in range(60):\n+        for mod in mods:\n+            si=['attn_write','mlp_write','attn_read','mlp_read'].index(spaces[mod]);q=D[spaces[mod]];v=q['basis'][l].double();w=q['weight'][l].double();cm=q['common'][l].double()\n+            gen=torch.Generator().manual_seed(314000+100*l+si)\n+            z=torch.randn((4,5376),generator=gen,dtype=torch.float64)\n+            z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T\n+            W=e.W(l,mod)\n+            if family=='writers':\n+                e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)\n+            else:\n+                e.add(l,mod,([email]().T)*w.float(),v.float());c.add(l,mod,([email]().T)*w.float(),z.\n[... 41655 characters cut ...]"},{"i":120,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":121,"kind":"output","long":true,"text":" succeeded in 235ms:\nCAPTURE 8 check [task] seconds 157.4\nPROBE code-writer-r4-033-edit 6 seconds 131.4\nPROBE code-writer-r4-033-edit 7 seconds 266.4\nRESULT code-writer-r4-033-edit {\"all\": {\"n\": 132, \"mean_dlp\": -0.045678973644161076, \"mean_kl\": 0.024840267018466523, \"max_kl\": 0.41078153252601624, \"top_same\": 0.9621212121212122, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9545454545454546, \"mean_close_dlp\": -0.36036666985036747}, \"code\": {\"n\": 57, \"mean_dlp\": -0.008213524729394956, \"mean_kl\": 0.005278719886086351, \"max_kl\": 0.2804206311702728, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -2.2944954989249244}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.07231069722150184, \"mean_kl\": 0.035597057619089066, \"max_kl\": 0.37973058223724365, \"top_same\": 0.9322033898305084, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9152542372881356, \"mean_close_dlp\": 1.457184785503452}, \"turn\": {\"n\": 2, \"mean_dlp\": -0.17933780746534467, \"mean_kl\": 0.12103881454095244, \"max_kl\": 0.23428647220134735, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.5445718765258789}, \"think\": {\"n\": 2, \"mean_dlp\": -0.0002724025880525005, \"mean_kl\": 0.00015272781911335187, \"max_kl\": 0.0002833097823895514, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -2.172147750854492}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.002454900154589268, \"mean_kl\": 0.0011516463846419356, \"max_kl\": 0.002295375568792224, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -1.9037952423095703}, \"close\": {\"n\": 2, \"mean_dlp\": -0.17748363688588142, \"mean_kl\": 0.036951090674847364, \"max_kl\": 0.06208588182926178, \"top_same\": 0.5, \"base_logged_top\": 1.0, \"edit_logged_top\": 0.5, \"mean_close_dlp\": -0.17748363688588142}, \"cont\": {\"n\": 8, \"mean_dlp\": -0.07323057272697042, \"mean_kl\": 0.06990165682066174, \"max_kl\": 0.41078153252601624, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.8549922108650208}}\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,64 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n[... 663 lines cut ...]\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing close-thought alignment**\n**Reviewing capture storage**\n**Optimizing worker thread usage**\n**Balancing code and prose styles**\n**Managing candidate queue and build states**"},{"i":122,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]\n\n**Implementing polarity handling**\n\nI'm working on adding polarity support to the builder, ensuring positive and negative scaling behave correctly and metadata integrity is maintained. I plan to preserve source snapshots before patches and adjust the build script to handle new polarity-aware parameters while balancing the encoding strength to avoid overfitting and preserve task-specific focus.\n**Analyzing polarity reversal effects**"},{"i":123,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cp /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/build_fidelity.py /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/build_fidelity_initial.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":124,"kind":"output","long":true,"text":" succeeded in 219ms:\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\build_fidelity.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\prepare_entry.py\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n[... 669 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":125,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/build_fidelity.py turn4/prepare_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":126,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'tail -3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 548ms:\nPROBE code-writer-r4-033-edit 7 seconds 266.4\nRESULT code-writer-r4-033-edit {\"all\": {\"n\": 132, \"mean_dlp\": -0.045678973644161076, \"mean_kl\": 0.024840267018466523, \"max_kl\": 0.41078153252601624, \"top_same\": 0.9621212121212122, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9545454545454546, \"mean_close_dlp\": -0.36036666985036747}, \"code\": {\"n\": 57, \"mean_dlp\": -0.008213524729394956, \"mean_kl\": 0.005278719886086351, \"max_kl\": 0.2804206311702728, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -2.2944954989249244}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.07231069722150184, \"mean_kl\": 0.035597057619089066, \"max_kl\": 0.37973058223724365, \"top_same\": 0.9322033898305084, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9152542372881356, \"mean_close_dlp\": 1.457184785503452}, \"turn\": {\"n\": 2, \"mean_dlp\": -0.17933780746534467, \"mean_kl\": 0.12103881454095244, \"max_kl\": 0.23428647220134735, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.5445718765258789}, \"think\": {\"n\": 2, \"mean_dlp\": -0.0002724025880525005, \"mean_kl\": 0.00015272781911335187, \"max_kl\": 0.0002833097823895514, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -2.172147750854492}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.002454900154589268, \"mean_kl\": 0.0011516463846419356, \"max_kl\": 0.002295375568792224, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -1.9037952423095703}, \"close\": {\"n\": 2, \"mean_dlp\": -0.17748363688588142, \"mean_kl\": 0.036951090674847364, \"max_kl\": 0.06208588182926178, \"top_same\": 0.5, \"base_logged_top\": 1.0, \"edit_logged_top\": 0.5, \"mean_close_dlp\": -0.17748363688588142}, \"cont\": {\"n\": 8, \"mean_dlp\": -0.07323057272697042, \"mean_kl\": 0.06990165682066174, \"max_kl\": 0.41078153252601624, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.8549922108650208}}\nPROBE code-writer-r4-033-ctrl 6 seconds 131.4\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n[... 1385 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":127,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/probe_report.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":128,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-writer-r4-033-edit code-writer-r4-033-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 526ms:\ncode-writer-r4-033-edit\n[task] code_n 25 base_lp -0.009472627454978805 change -0.01872084383588259\n[task] code_n 32 base_lp -0.00015906619202854522 change -4.681677451490174e-06\nsummary {\"all\": {\"n\": 132, \"mean_dlp\": -0.045678973644161076, \"mean_kl\": 0.024840267018466523, \"max_kl\": 0.41078153252601624, \"top_same\": 0.9621212121212122, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9545454545454546, \"mean_close_dlp\": -0.36036666985036747}, \"code\": {\"n\": 57, \"mean_dlp\": -0.008213524729394956, \"mean_kl\": 0.005278719886086351, \"max_kl\": 0.2804206311702728, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -2.2944954989249244}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.07231069722150184, \"mean_kl\": 0.035597057619089066, \"max_kl\": 0.37973058223724365, \"top_same\": 0.9322033898305084, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9152542372881356, \"mean_close_dlp\": 1.457184785503452}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.002454900154589268, \"mean_kl\": 0.0011516463846419356, \"max_kl\": 0.002295375568792224, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -1.9037952423095703}, \"close\": {\"n\": 2, \"mean_dlp\": -0.17748363688588142, \"mean_kl\": 0.036951090674847364, \"max_kl\": 0.06208588182926178, \"top_same\": 0.5, \"base_logged_top\": 1.0, \"edit_logged_top\": 0.5, \"mean_close_dlp\": -0.17748363688588142}}\ncode-writer-r4-033-ctrl PENDING\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n[... 1408 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":129,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/prepare_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":130,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'tail -3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 505ms:\nPROBE code-writer-r4-033-ctrl 6 seconds 131.4\nPROBE code-writer-r4-033-ctrl 7 seconds 268.0\nRESULT code-writer-r4-033-ctrl {\"all\": {\"n\": 132, \"mean_dlp\": -0.0005877022848309498, \"mean_kl\": 0.00027784542765782027, \"max_kl\": 0.008142592385411263, \"top_same\": 1.0, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9924242424242424, \"mean_close_dlp\": -0.014728589013622806}, \"code\": {\"n\": 57, \"mean_dlp\": -0.0005922917263321749, \"mean_kl\": 4.878258292726848e-05, \"max_kl\": 0.0013627734733745456, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.009045416848701342}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.0007943368756277238, \"mean_kl\": 0.0004586482440804671, \"max_kl\": 0.008142592385411263, \"top_same\": 1.0, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9830508474576272, \"mean_close_dlp\": -0.03873135679859226}, \"turn\": {\"n\": 2, \"mean_dlp\": 0.002594436868093908, \"mean_kl\": 0.00045186801071395166, \"max_kl\": 0.0008421434322372079, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.015960693359375}, \"think\": {\"n\": 2, \"mean_dlp\": -3.239894977014046e-05, \"mean_kl\": 3.7216820487628866e-06, \"max_kl\": 7.318581538129365e-06, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.05465507507324219}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0005182837999200274, \"mean_kl\": 3.328170515715101e-05, \"max_kl\": 6.63738464936614e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.023956298828125}, \"close\": {\"n\": 2, \"mean_dlp\": 0.025468977037235163, \"mean_kl\": 0.001100128883990692, \"max_kl\": 0.0021791234612464905, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.025468977037235163}, \"cont\": {\"n\": 8, \"mean_dlp\": -0.006756099380709202, \"mean_kl\": 0.000457092782426163, \"max_kl\": 0.002766690216958523, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.08504071831703186}}\n\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n[... 1427 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":131,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/archive_failed.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":132,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/archive_failed.py; nohup /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/prepare_entry.py code-writer-damp-r4-033 > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_damp033.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 481ms:\narchived /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/declined/code-writer-r4-033\n1717953\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 713 lines cut ...]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing timeline and control requirements**\n**Reviewing code normalization and build process**\n**Evaluating model directory and rebuild process**\n**Assessing model file integrity**"},{"i":133,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_damp033.log; tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":134,"kind":"output","long":true,"text":" succeeded in 228ms:\n  by type {'down_proj': 0.00845, 'o_proj': 0.00845}\n  by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]\n\nQUEUED_PRETEST code-writer-damp-r4-033\nRESULT code-writer-r4-033-ctrl {\"all\": {\"n\": 132, \"mean_dlp\": -0.0005877022848309498, \"mean_kl\": 0.00027784542765782027, \"max_kl\": 0.008142592385411263, \"top_same\": 1.0, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9924242424242424, \"mean_close_dlp\": -0.014728589013622806}, \"code\": {\"n\": 57, \"mean_dlp\": -0.0005922917263321749, \"mean_kl\": 4.878258292726848e-05, \"max_kl\": 0.0013627734733745456, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.009045416848701342}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.0007943368756277238, \"mean_kl\": 0.0004586482440804671, \"max_kl\": 0.008142592385411263, \"top_same\": 1.0, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9830508474576272, \"mean_close_dlp\": -0.03873135679859226}, \"turn\": {\"n\": 2, \"mean_dlp\": 0.002594436868093908, \"mean_kl\": 0.00045186801071395166, \"max_kl\": 0.0008421434322372079, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.015960693359375}, \"think\": {\"n\": 2, \"mean_dlp\": -3.239894977014046e-05, \"mean_kl\": 3.7216820487628866e-06, \"max_kl\": 7.318581538129365e-06, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.05465507507324219}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0005182837999200274, \"mean_kl\": 3.328170515715101e-05, \"max_kl\": 6.63738464936614e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.023956298828125}, \"close\": {\"n\": 2, \"mean_dlp\": 0.025468977037235163, \"mean_kl\": 0.001100128883990692, \"max_kl\": 0.0021791234612464905, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.025468977037235163}, \"cont\": {\"n\": 8, \"mean_dlp\": -0.006756099380709202, \"mean_kl\": 0.000457092782426163, \"max_kl\": 0.002766690216958523, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.08504071831703186}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n[... 712 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Validating weight sign behavior**"},{"i":135,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\reversal_check.py\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_\n[... 45769 characters cut ...]"},{"i":136,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/reversal_check.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":137,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/reversal_check.py; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/update_notes.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 1742ms:\n{\"edit\": {\"same_A\": true, \"B_exact_negative\": true, \"matrices\": 120}, \"ctrl\": {\"same_A\": true, \"B_exact_negative\": true, \"matrices\": 120}}\nnotes_words 365 ready 0 pending 1\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 1482 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":138,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/update_notes.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":139,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/update_notes.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 493ms:\nnotes_words 427 ready 0 pending 1\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n[... 1487 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":140,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/prepare_entry.py turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":141,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'tail -2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 523ms:\nPROBE code-writer-r4-033-ctrl 7 seconds 268.0\nRESULT code-writer-r4-033-ctrl {\"all\": {\"n\": 132, \"mean_dlp\": -0.0005877022848309498, \"mean_kl\": 0.00027784542765782027, \"max_kl\": 0.008142592385411263, \"top_same\": 1.0, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9924242424242424, \"mean_close_dlp\": -0.014728589013622806}, \"code\": {\"n\": 57, \"mean_dlp\": -0.0005922917263321749, \"mean_kl\": 4.878258292726848e-05, \"max_kl\": 0.0013627734733745456, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.009045416848701342}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.0007943368756277238, \"mean_kl\": 0.0004586482440804671, \"max_kl\": 0.008142592385411263, \"top_same\": 1.0, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9830508474576272, \"mean_close_dlp\": -0.03873135679859226}, \"turn\": {\"n\": 2, \"mean_dlp\": 0.002594436868093908, \"mean_kl\": 0.00045186801071395166, \"max_kl\": 0.0008421434322372079, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.015960693359375}, \"think\": {\"n\": 2, \"mean_dlp\": -3.239894977014046e-05, \"mean_kl\": 3.7216820487628866e-06, \"max_kl\": 7.318581538129365e-06, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.05465507507324219}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0005182837999200274, \"mean_kl\": 3.328170515715101e-05, \"max_kl\": 6.63738464936614e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.023956298828125}, \"close\": {\"n\": 2, \"mean_dlp\": 0.025468977037235163, \"mean_kl\": 0.001100128883990692, \"max_kl\": 0.0021791234612464905, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.025468977037235163}, \"cont\": {\"n\": 8, \"mean_dlp\": -0.006756099380709202, \"mean_kl\": 0.000457092782426163, \"max_kl\": 0.002766690216958523, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.08504071831703186}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 1491 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(read\n[... 26 characters cut ...]"},{"i":142,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":143,"kind":"output","long":true,"text":" succeeded in 265ms:\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\n[... 1485 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":144,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":145,"kind":"output","long":true,"text":" succeeded in 224ms:\nPROBE code-writer-r4-033-ctrl 7 seconds 268.0\nRESULT code-writer-r4-033-ctrl {\"all\": {\"n\": 132, \"mean_dlp\": -0.0005877022848309498, \"mean_kl\": 0.00027784542765782027, \"max_kl\": 0.008142592385411263, \"top_same\": 1.0, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9924242424242424, \"mean_close_dlp\": -0.014728589013622806}, \"code\": {\"n\": 57, \"mean_dlp\": -0.0005922917263321749, \"mean_kl\": 4.878258292726848e-05, \"max_kl\": 0.0013627734733745456, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.009045416848701342}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.0007943368756277238, \"mean_kl\": 0.0004586482440804671, \"max_kl\": 0.008142592385411263, \"top_same\": 1.0, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9830508474576272, \"mean_close_dlp\": -0.03873135679859226}, \"turn\": {\"n\": 2, \"mean_dlp\": 0.002594436868093908, \"mean_kl\": 0.00045186801071395166, \"max_kl\": 0.0008421434322372079, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.015960693359375}, \"think\": {\"n\": 2, \"mean_dlp\": -3.239894977014046e-05, \"mean_kl\": 3.7216820487628866e-06, \"max_kl\": 7.318581538129365e-06, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.05465507507324219}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0005182837999200274, \"mean_kl\": 3.328170515715101e-05, \"max_kl\": 6.63738464936614e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.023956298828125}, \"close\": {\"n\": 2, \"mean_dlp\": 0.025468977037235163, \"mean_kl\": 0.001100128883990692, \"max_kl\": 0.0021791234612464905, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.025468977037235163}, \"cont\": {\"n\": 8, \"mean_dlp\": -0.006756099380709202, \"mean_kl\": 0.000457092782426163, \"max_kl\": 0.002766690216958523, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.08504071831703186}}\nPROBE code-writer-damp-r4-033-edit 6 seconds 131.8\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 734 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Confirming timing and verification steps**"},{"i":146,"kind":"assistant","long":true,"text":"The reversal check passed for all 120 matrices in both arms: every A factor is unchanged and every B factor is negated. The positive candidate is archived without READY. The reversed edit has completed its first replay call.\n\n**Analyzing CPU threading and model consistency**\n**Refining title wording**\n**Processing damp code and prose titles**\n**Summarizing queue entries and line limits**\n**Summarizing final audit and cleanup process**\n**Filtering irrelevant data**\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fi\n[... 46351 characters cut ...]"},{"i":147,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":148,"kind":"output","long":true,"text":" succeeded in 304ms:\nPROBE code-writer-damp-r4-033-edit 6 seconds 131.8\nPROBE code-writer-damp-r4-033-edit 7 seconds 270.9\nRESULT code-writer-damp-r4-033-edit {\"all\": {\"n\": 132, \"mean_dlp\": 0.005298951320598396, \"mean_kl\": 0.02378834450410591, \"max_kl\": 0.5579270124435425, \"top_same\": 0.9621212121212122, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9696969696969697, \"mean_close_dlp\": 1.0802001628513662}, \"code\": {\"n\": 57, \"mean_dlp\": 0.0014103868676841852, \"mean_kl\": 0.000710290250639416, \"max_kl\": 0.022176852449774742, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.829222461633515}, \"thought\": {\"n\": 59, \"mean_dlp\": 0.0052445259796236, \"mean_kl\": 0.044256933994250694, \"max_kl\": 0.5579270124435425, \"top_same\": 0.9322033898305084, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9491525423728814, \"mean_close_dlp\": -0.4642998040732691}, \"turn\": {\"n\": 2, \"mean_dlp\": 0.02551195677369833, \"mean_kl\": 0.02769071963848546, \"max_kl\": 0.054385796189308167, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.0977783203125}, \"think\": {\"n\": 2, \"mean_dlp\": 3.63176495739026e-05, \"mean_kl\": 4.785557212017011e-05, \"max_kl\": 7.380102761089802e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.7500357627868652}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.002676518254702387, \"mean_kl\": 0.0017474146261520218, \"max_kl\": 0.0034903984051197767, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 1.5820226669311523}, \"close\": {\"n\": 2, \"mean_dlp\": 0.09400117730547208, \"mean_kl\": 0.017166593752335757, \"max_kl\": 0.03356904163956642, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.09400117730547208}, \"cont\": {\"n\": 8, \"mean_dlp\": 0.00814881876203799, \"mean_kl\": 0.049388832177069464, \"max_kl\": 0.3463399410247803, \"top_same\": 0.875, \"base_logged_top\": 1.0, \"edit_logged_top\": 0.875, \"mean_close_dlp\": -0.5416557788848877}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 737 lines cut ...]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing model performance metrics**\n**Optimizing task prioritization and queue management**\n**Analyzing task sequencing and validation**\n**Reviewing finalizer and code consistency**"},{"i":149,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_read'}\n+    for l in range(60):\n+        for mod in mods:\n+            si=['attn_write',\n[... 45924 characters cut ...]"},{"i":150,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":151,"kind":"output","long":true,"text":" succeeded in 243ms:\nRESULT code-writer-damp-r4-033-edit {\"all\": {\"n\": 132, \"mean_dlp\": 0.005298951320598396, \"mean_kl\": 0.02378834450410591, \"max_kl\": 0.5579270124435425, \"top_same\": 0.9621212121212122, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9696969696969697, \"mean_close_dlp\": 1.0802001628513662}, \"code\": {\"n\": 57, \"mean_dlp\": 0.0014103868676841852, \"mean_kl\": 0.000710290250639416, \"max_kl\": 0.022176852449774742, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.829222461633515}, \"thought\": {\"n\": 59, \"mean_dlp\": 0.0052445259796236, \"mean_kl\": 0.044256933994250694, \"max_kl\": 0.5579270124435425, \"top_same\": 0.9322033898305084, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9491525423728814, \"mean_close_dlp\": -0.4642998040732691}, \"turn\": {\"n\": 2, \"mean_dlp\": 0.02551195677369833, \"mean_kl\": 0.02769071963848546, \"max_kl\": 0.054385796189308167, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.0977783203125}, \"think\": {\"n\": 2, \"mean_dlp\": 3.63176495739026e-05, \"mean_kl\": 4.785557212017011e-05, \"max_kl\": 7.380102761089802e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.7500357627868652}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.002676518254702387, \"mean_kl\": 0.0017474146261520218, \"max_kl\": 0.0034903984051197767, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 1.5820226669311523}, \"close\": {\"n\": 2, \"mean_dlp\": 0.09400117730547208, \"mean_kl\": 0.017166593752335757, \"max_kl\": 0.03356904163956642, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.09400117730547208}, \"cont\": {\"n\": 8, \"mean_dlp\": 0.00814881876203799, \"mean_kl\": 0.049388832177069464, \"max_kl\": 0.3463399410247803, \"top_same\": 0.875, \"base_logged_top\": 1.0, \"edit_logged_top\": 0.875, \"mean_close_dlp\": -0.5416557788848877}}\nPROBE code-writer-damp-r4-033-ctrl 6 seconds 132.6\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n[... 1538 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":152,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/prepare_entry.py turn4/finish_scout.py turn4/merge_scout.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":153,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'tail -2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 538ms:\nPROBE code-writer-damp-r4-033-ctrl 7 seconds 271.8\nRESULT code-writer-damp-r4-033-ctrl {\"all\": {\"n\": 132, \"mean_dlp\": -0.002215649156080066, \"mean_kl\": 0.0004581868438511953, \"max_kl\": 0.020211683586239815, \"top_same\": 0.9924242424242424, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9848484848484849, \"mean_close_dlp\": 0.019714289392471652}, \"code\": {\"n\": 57, \"mean_dlp\": -0.00034962374912539005, \"mean_kl\": 3.747686188443052e-05, \"max_kl\": 0.0016574893379583955, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.01596464190566749}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.004409965718646374, \"mean_kl\": 0.0008930475712403788, \"max_kl\": 0.020211683586239815, \"top_same\": 0.9830508474576272, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9661016949152542, \"mean_close_dlp\": 0.045080148567587644}, \"turn\": {\"n\": 2, \"mean_dlp\": 0.002127110376022756, \"mean_kl\": 0.0004589203745126724, \"max_kl\": 0.0007831025286577642, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.026192665100097656}, \"think\": {\"n\": 2, \"mean_dlp\": 0.000162141158398299, \"mean_kl\": 5.823814993277665e-05, \"max_kl\": 0.00011604792962316424, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.07796287536621094}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0006002513614475902, \"mean_kl\": 0.00010536891818446747, \"max_kl\": 0.00021064979955554008, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.10096263885498047}, \"close\": {\"n\": 2, \"mean_dlp\": -0.00041157996747642756, \"mean_kl\": 2.8962429496459663e-05, \"max_kl\": 5.305593731463887e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.00041157996747642756}, \"cont\": {\"n\": 8, \"mean_dlp\": -0.002163125419883727, \"mean_kl\": 0.0005439619766887671, \"max_kl\": 0.002681635320186615, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.06954595446586609}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 774 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Finalizing script and build parameters**"},{"i":154,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/finalize_entry.py code-writer-damp-r4-033 --ready; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/update_notes.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":155,"kind":"output","long":true,"text":"diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\n[... 769 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Considering command execution behavior**"},{"i":156,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_read'}\n+    for l in range(60):\n+        for mod in mods:\n+            si=['attn_write',\n[... 102691 characters cut ...]"},{"i":157,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/projector_dose.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":158,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/projector_dose.py code-writer-damp-r4-033'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 1263ms:\ncode-writer-damp-r4-033 {\"min_beta\": -0.45829252547341154, \"max_beta\": -0.07177801158449655, \"median_beta\": -0.22616530673239355, \"inverted_leading_modes\": 0}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n[... 798 lines cut ...]\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing subtractive code projection parameters**\n**Analyzing model parameters**"},{"i":159,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/prepare_entry.py code-writer-damp-r4-099 --scout > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_damp099.log 2>&1 < /dev/null & echo \"'$!; grep code-writer-damp-r4-033 /home/keith/gemma-v2/wsp31/queue/STATUS.md'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":160,"kind":"output","long":true,"text":" succeeded in 213ms:\n1776945\n| 0025 | gpt | code-writer-damp-r4-033 | queued_s1 | -6 to +12 |  |  |  | - |\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n[... 797 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Finalizing proofreading and validations**"},{"i":161,"kind":"assistant","long":true,"text":"`code-writer-damp-r4-033` is READY and accepted as ledger 0025. Both arms rebuilt byte for byte. It changes 120 matrices at 0.32999% of the network. I\u2019m checking a three-times-larger writer dose next, starting with one call so a clear failure can stop further work on it.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\finalize_entry.py\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj']\n[... 50822 characters cut ...]"},{"i":162,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":163,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'tail -4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_damp099.log; tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 503ms:\n  by type {'down_proj': 0.02535, 'o_proj': 0.02535}\n  by depth (10-layer bands) [0.02535, 0.02535, 0.02535, 0.02535, 0.02535, 0.02535]\n\nQUEUED_PRETEST code-writer-damp-r4-099\nRESULT code-writer-damp-r4-033-ctrl {\"all\": {\"n\": 132, \"mean_dlp\": -0.002215649156080066, \"mean_kl\": 0.0004581868438511953, \"max_kl\": 0.020211683586239815, \"top_same\": 0.9924242424242424, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9848484848484849, \"mean_close_dlp\": 0.019714289392471652}, \"code\": {\"n\": 57, \"mean_dlp\": -0.00034962374912539005, \"mean_kl\": 3.747686188443052e-05, \"max_kl\": 0.0016574893379583955, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.01596464190566749}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.004409965718646374, \"mean_kl\": 0.0008930475712403788, \"max_kl\": 0.020211683586239815, \"top_same\": 0.9830508474576272, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9661016949152542, \"mean_close_dlp\": 0.045080148567587644}, \"turn\": {\"n\": 2, \"mean_dlp\": 0.002127110376022756, \"mean_kl\": 0.0004589203745126724, \"max_kl\": 0.0007831025286577642, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.026192665100097656}, \"think\": {\"n\": 2, \"mean_dlp\": 0.000162141158398299, \"mean_kl\": 5.823814993277665e-05, \"max_kl\": 0.00011604792962316424, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.07796287536621094}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0006002513614475902, \"mean_kl\": 0.00010536891818446747, \"max_kl\": 0.00021064979955554008, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.10096263885498047}, \"close\": {\"n\": 2, \"mean_dlp\": -0.00041157996747642756, \"mean_kl\": 2.8962429496459663e-05, \"max_kl\": 5.305593731463887e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.00041157996747642756}, \"cont\": {\"n\": 8, \"mean_dlp\": -0.002163125419883727, \"mean_kl\": 0.0005439619766887671, \"max_kl\": 0.002681635320186615, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.06954595446586609}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n[... 805 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Inserting finalizer guard and updating notes**"},{"i":164,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/projector_dose.py code-writer-damp-r4-099; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/update_notes.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":165,"kind":"output","long":true,"text":" succeeded in 1496ms:\ncode-writer-damp-r4-099 {\"min_beta\": -1.3747620660290387, \"max_beta\": -0.21531305059715075, \"median_beta\": -0.6788396185256591, \"inverted_leading_modes\": 21}\nnotes_words 430 ready 1 pending 1\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n[... 1670 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":166,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/final_audit.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":167,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log | cut -c1-200'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 475ms:\nRESULT code-writer-damp-r4-033-ctrl {\"all\": {\"n\": 132, \"mean_dlp\": -0.002215649156080066, \"mean_kl\": 0.0004581868438511953, \"max_kl\": 0.020211683586239815, \"top_same\": 0.9924242424242424, \"base_logged\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n[... 843 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Reviewing final audit and resource use**"},{"i":168,"kind":"assistant","long":true,"text":"The 0.99% dose reverses the leading fitted mode in 21 matrices; it goes beyond simple damping there. The recipe will state that. Its one-call check is running, with format preservation and code likelihood still serving as the limits for further testing.\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write',\n[... 54437 characters cut ...]"},{"i":169,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-writer-damp-r4-099-edit-p6'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":170,"kind":"output","long":true,"text":" succeeded in 247ms:\ncode-writer-damp-r4-099-edit-p6\n[task] code_n 25 base_lp -0.009472627454978805 change -0.003458926752724665\nsummary {\"all\": {\"n\": 60, \"mean_dlp\": -0.019388450465031327, \"mean_kl\": 0.28678131819044145, \"max_kl\": 5.128641605377197, \"top_same\": 0.9166666666666666, \"base_logged_top\": 0.9833333333333333, \"edit_logged_top\": 0.9333333333333333, \"mean_close_dlp\": 1.3691876451174418}, \"code\": {\"n\": 25, \"mean_dlp\": -0.003458926752724665, \"mean_kl\": 0.006024081973415605, \"max_kl\": 0.08564560115337372, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 6.22224853515625}, \"thought\": {\"n\": 27, \"mean_dlp\": -0.07253226196315962, \"mean_kl\": 0.539018967430753, \"max_kl\": 5.128641605377197, \"top_same\": 0.8148148148148148, \"base_logged_top\": 0.9629629629629629, \"edit_logged_top\": 0.8518518518518519, \"mean_close_dlp\": -2.5813572848284685}, \"tool\": {\"n\": 1, \"mean_dlp\": 0.008126508444547653, \"mean_kl\": 0.01376490481197834, \"max_kl\": 0.01376490481197834, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 1.9456253051757812}, \"close\": {\"n\": 1, \"mean_dlp\": -0.14265203475952148, \"mean_kl\": 0.034621432423591614, \"max_kl\": 0.034621432423591614, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.14265203475952148}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 1733 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":171,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/decline_scout.py turn4/prepare_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":172,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/decline_scout.py code-writer-damp-r4-099; nohup /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/prepare_entry.py code-writer-damp-r4-011 > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_damp011.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 474ms:\ndeclined code-writer-damp-r4-099\n1794894\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 865 lines cut ...]\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing training dose schedule**\n**Analyzing memory and script environment**\n**Managing Python bytecode settings**"},{"i":173,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\finalize_entry.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\prepare_entry.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\update_notes.py\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj\n[... 55535 characters cut ...]"},{"i":174,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/prepare_entry.py turn4/finalize_entry.py turn4/update_notes.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":175,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/update_notes.py; tail -2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_damp011.log; tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log | cut -c1-140'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 571ms:\nnotes_words 457 ready 1 pending 1\n\nQUEUED_PRETEST code-writer-damp-r4-011\nRESULT code-writer-damp-r4-099-edit-p6 {\"all\": {\"n\": 60, \"mean_dlp\": -0.019388450465031327, \"mean_kl\": 0.28678131819044145, \"max_kl\": 5.1286\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n[... 869 lines cut ...]\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Reviewing final audit and build status**\n**Analyzing thought closure dynamics**\n**Analyzing Python-focused task metadata**\n**Analyzing adapter combination process**\n**Preparing multi-agent coordination code**"},{"i":176,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log | cut -c1-220; tail -3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_damp011.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":177,"kind":"output","long":true,"text":" succeeded in 238ms:\nRESULT code-writer-damp-r4-099-edit-p6 {\"all\": {\"n\": 60, \"mean_dlp\": -0.019388450465031327, \"mean_kl\": 0.28678131819044145, \"max_kl\": 5.128641605377197, \"top_same\": 0.9166666666666666, \"base_logged_top\": 0.98333333333333\nPROBE code-writer-damp-r4-011-edit 6 seconds 133.0\n  by depth (10-layer bands) [0.00282, 0.00282, 0.00282, 0.00282, 0.00282, 0.00282]\n\nQUEUED_PRETEST code-writer-damp-r4-011\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n[... 868 lines cut ...]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n\n[line removed by the dashboard scrubber]"},{"i":178,"kind":"assistant","long":true,"text":"The 0.11% edit has finished its first check call; the second call and control are next. Both declined candidates are saved with their results. Once this entry is complete, I\u2019ll test the reader variant, which changes how layers read the contrast rather than how they write it.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\changed_choices.py\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_p\n[... 56876 characters cut ...]"},{"i":179,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"scp turn4/changed_choices.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/"},{"i":180,"kind":"output","long":true,"text":"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/changed_choices.py code-writer-damp-r4-033-edit code-writer-damp-r4-099-edit-p6'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt\n succeeded in 5129ms:\n{\n  \"code-writer-damp-r4-033-edit\": [\n    {\n      \"instance\": \"[task]\",\n      \"kind\": \"thought\",\n      \"pos\": 4852,\n      \"KL\": 0.5579270124435425,\n      \"context\": \"8decode_check` calls `b58decode(v, alphabet=alphabet)`.\\n`b58decode` calls `scrub_input(v)`.\",\n      \"base\": \" So\",\n      \"edit\": \"\\n\",\n      \"logged\": \" So\"\n    },\n    {\n      \"instance\": \"[task]\",\n      \"kind\": \"cont\",\n      \"pos\": 5310,\n      \"KL\": 0.3463399410247803,\n      \"context\": \" the sentinel and update the two methods.\\n\\nWait, I should check if `_SENTINEL` is used anywhere else or if there's a better place for it.\",\n[... 933 lines cut ...]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing model output variations**\n**Evaluating task performance and runtime**\n**Analyzing final audit and source consistency**\n**Clarifying model capabilities and constraints**"},{"i":181,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-writer-damp-r4-011-edit code-writer-damp-r4-011-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":182,"kind":"output","long":true,"text":" succeeded in 491ms:\ncode-writer-damp-r4-011-edit\n[task] code_n 25 base_lp -0.009472627454978805 change 0.0014547958514705783\n[task] code_n 32 base_lp -0.00015906619202854522 change -0.00012476579164100166\nsummary {\"all\": {\"n\": 132, \"mean_dlp\": 0.005369666435731769, \"mean_kl\": 0.0029825237720536215, \"max_kl\": 0.0502103753387928, \"top_same\": 0.9924242424242424, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9848484848484849, \"mean_close_dlp\": 0.3139568589624215}, \"code\": {\"n\": 57, \"mean_dlp\": 0.0005680244027061825, \"mean_kl\": 0.00013367008879783162, \"max_kl\": 0.004345332272350788, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 1.019895637244509}, \"thought\": {\"n\": 59, \"mean_dlp\": 0.007455441521430731, \"mean_kl\": 0.005112241215257009, \"max_kl\": 0.0502103753387928, \"top_same\": 0.9830508474576272, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9661016949152542, \"mean_close_dlp\": -0.3547830177565752}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0010823134966813086, \"mean_kl\": 0.00016334752524471696, \"max_kl\": 0.00032620213460177183, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.6534261703491211}, \"close\": {\"n\": 2, \"mean_dlp\": 0.09477475134190172, \"mean_kl\": 0.015268099043169059, \"max_kl\": 0.030339671298861504, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.09477475134190172}}\ncode-writer-damp-r4-011-ctrl PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n[... 888 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\ncontext compacted"},{"i":183,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-writer-damp-r4-011-edit code-writer-damp-r4-011-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":184,"kind":"output","long":true,"text":" succeeded in 1226ms:\ncode-writer-damp-r4-011-edit\n[task] code_n 25 base_lp -0.009472627454978805 change 0.0014547958514705783\n[task] code_n 32 base_lp -0.00015906619202854522 change -0.00012476579164100166\nsummary {\"all\": {\"n\": 132, \"mean_dlp\": 0.005369666435731769, \"mean_kl\": 0.0029825237720536215, \"max_kl\": 0.0502103753387928, \"top_same\": 0.9924242424242424, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9848484848484849, \"mean_close_dlp\": 0.3139568589624215}, \"code\": {\"n\": 57, \"mean_dlp\": 0.0005680244027061825, \"mean_kl\": 0.00013367008879783162, \"max_kl\": 0.004345332272350788, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 1.019895637244509}, \"thought\": {\"n\": 59, \"mean_dlp\": 0.007455441521430731, \"mean_kl\": 0.005112241215257009, \"max_kl\": 0.0502103753387928, \"top_same\": 0.9830508474576272, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9661016949152542, \"mean_close_dlp\": -0.3547830177565752}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0010823134966813086, \"mean_kl\": 0.00016334752524471696, \"max_kl\": 0.00032620213460177183, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.6534261703491211}, \"close\": {\"n\": 2, \"mean_dlp\": 0.09477475134190172, \"mean_kl\": 0.015268099043169059, \"max_kl\": 0.030339671298861504, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.09477475134190172}}\ncode-writer-damp-r4-011-ctrl PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n[... 888 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Reviewing time and scope**"},{"i":185,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":186,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/BRIEF.md; tail -12 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/finish_scout.py; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/update_notes.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":187,"kind":"output","long":true,"text":" succeeded in 238ms:\n# wsp31 author brief (read fully at the start of every turn)\n\nYou are one of three authors (claude, gpt, gemini) taking turns. Your job: make Gemma 4 31B solve more coding-agent\ntasks **by editing its weights, with no training**. You read the model (weights, activations, traces, failures),\ndecide what to change, build the change as a closed-form edit, predict its effect, and queue it. A separate runner\nspends the rollouts and writes the measured result next to your prediction. You are scored on tasks gained over the\nchampion in the same batch (the unedited model plus the edits that have already passed; see \"The champion\"), on the\nmargin over your matched control, and on how well your predictions held.\n\n**Be bold.** Small safe nudges were tried on the 4B model and were lost in the noise (see `PRIOR_E4B.md`). A queue\nslot is cheap; a third variation of a null result is a wasted slot. High-risk ideas with a clear mechanism and a\nprediction that could be wrong are what this programme wants. Say what would prove you wrong.\n\n## Where you work\n\n- Everything happens on host `wrx90`, reached with `ssh -o BatchMode=yes wrx90 '<command>'`. Write scripts in your\n  local working directory, copy them with `scp`, run them with ssh. Keep ssh output small (`tail`, `cut`, `head`).\n- Root: `/home/keith/gemma-v2` (below: `$R`). Python: `$R/tii-venv/bin/python` (torch, transformers, vLLM 0.19.1,\n  peft, safetensors; no scipy). `. $R/env.sh` sets `R` and `PY`.\n[... 1150 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Stopping idle and reviewing scripts**"},{"i":188,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'Get-Content turn4/prepare_entry.py' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":189,"kind":"output","long":true,"text":" succeeded in 15ms:\n 'code-writer-r4-099':('writers',.0099,(-15,16)),\n 'code-reader-r4-033':('readers',.0033,(-10,15)),\n 'code-writer-damp-r4-033':('writers',.0033,(-6,12)),\n 'code-writer-damp-r4-011':('writers',.0011,(-5,10)),\n 'code-writer-damp-r4-099':('writers',.0099,(-12,15)),\n 'code-reader-damp-r4-033':('readers',.0033,(-8,14)),\n 'code-reader-damp-r4-011':('readers',.0011,(-5,10)),\n}\ndef run(cmd,out):\n    env={**os.environ,'OMP_NUM_THREADS':'8','MKL_NUM_THREADS':'8','OPENBLAS_NUM_THREADS':'8','PYTHONDONTWRITEBYTECODE':'1'}\n    p=subprocess.run(cmd,capture_output=True,text=True,check=True,env=env)\n    Path(out).write_text(p.stdout+p.stderr);print(p.stdout[-1400:],flush=True)\ndef prepare(slug,wait=False,scout=False):\n    if wait:\n        while not (S/'FIT_DONE').exists():time.sleep(5)\n    if not (C/'fidelity_directions.pt').exists():run([PY,str(C/'build_fidelity.py'),'fit'],S/'fit.log')\n    family,dose,gain=specs[slug];polarity=-1 if '-damp-' in slug else 1;q=A/'queue'/slug;q.mkdir(exist_ok=True)\n    assert not (q/'READY').exists()\n    rec=f'''title: Strengthen code-versus-prose {family} in all layers at {dose*100:.2f} percent\n[... 971 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Assessing prediction adjustments**"},{"i":190,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-writer-damp-r4-011-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":191,"kind":"output","long":true,"text":" succeeded in 254ms:\ncode-writer-damp-r4-011-ctrl\n[task] code_n 25 base_lp -0.009472627454978805 change 0.0021188423589148897\n[task] code_n 32 base_lp -0.00015906619202854522 change -1.9062109483991563e-05\nsummary {\"all\": {\"n\": 132, \"mean_dlp\": -0.0007710332279926165, \"mean_kl\": 0.0004262227380819316, \"max_kl\": 0.017141664400696754, \"top_same\": 0.9924242424242424, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.07268815706034233}, \"code\": {\"n\": 57, \"mean_dlp\": 0.0009186152889365704, \"mean_kl\": 0.00014047891155013865, \"max_kl\": 0.005071197170764208, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.11834007397032621}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.0022229086861258423, \"mean_kl\": 0.0007411423984136925, \"max_kl\": 0.017141664400696754, \"top_same\": 0.9830508474576272, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.03552542298527087}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0005942859984315874, \"mean_kl\": 0.00010542533334501059, \"max_kl\": 0.0002099284902215004, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.2884683609008789}, \"close\": {\"n\": 2, \"mean_dlp\": -0.0001193385396618396, \"mean_kl\": 8.958121952673537e-06, \"max_kl\": 1.0558000212768093e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.0001193385396618396}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n[... 885 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":192,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/finalize_entry.py code-writer-damp-r4-011 --ready'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":193,"kind":"output","long":true,"text":"diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\n[... 881 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Managing prediction control**"},{"i":194,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_read'}\n+    for l in range(60):\n+        for mod in mods:\n+            si=['attn_write',\n[... 56579 characters cut ...]"},{"i":195,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'Get-Content turn4/final_audit.py' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":196,"kind":"output","long":true,"text":" succeeded in 27ms:\nimport json,hashlib,datetime,re\nfrom pathlib import Path\nA=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4';Q=Path('/home/keith/gemma-v2/wsp31/queue')\ndef sha(p):return hashlib.sha256(p.read_bytes()).hexdigest()\nentries=[];status=(Q/'STATUS.md').read_text()\nfor q in sorted((A/'queue').glob('code-*-r4-*')):\n    if not (q/'READY').exists():continue\n    for f in ['build.sh','record.md','size.json','source_hashes.json','rebuild_receipt.json','edit_pretest.json','ctrl_pretest.json','edit_check.txt','ctrl_check.txt']:\n        assert (q/f).is_file(),(q,f)\n    record=(q/'record.md').read_text();assert record.startswith('title: ') and '|' not in record.splitlines()[0]\n    assert all(h in record for h in ['## Hypothesis','## Exact recipe','## Prediction (written before the run)','base: champion generation 0','size: whole network','predicted_gain_120:'])\n    assert not (q/'REJECTED').exists(),q\n    sources=json.loads((q/'source_hashes.json').read_text());assert all(sha(A/p)==h for p,h in sources.items()),'source drift'\n    rebuild=json.loads((q/'rebuild_receipt.json').read_text());assert rebuild['byte_exact']\n    frozen=Q/'frozen'/('gpt__'+q.name);fh={}\n    for arm in ['edit','ctrl']:\n        assert 'OK' in (q/(arm+'_check.txt')).read_text()\n        cfg=json.loads((q/arm/'adapter_config.json').read_text());assert cfg['r']<=32 and cfg['lora_alpha']==2*cfg['r']\n        for fn,h in rebuild['files'][arm].items():assert sha(q/arm/fn)==h,'adapter drift'\n[... 1829 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":197,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/update_notes.py; cd /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4 && nohup /home/keith/gemma-v2/tii-venv/bin/python prepare_entry.py code-reader-damp-r4-033 --scout > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_reader033.log 2>&1 < /dev/null &';\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":198,"kind":"output","long":true,"text":"diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\n[... 881 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing SSH session command behaviors**"},{"i":199,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_reader033.log; grep gpt /home/keith/gemma-v2/wsp31/queue/STATUS.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":200,"kind":"output","long":true,"text":" succeeded in 236ms:\n| 0011 | gpt | writer-close-amplify-033 | running_s1 | -7 to +14 |  |  |  | - |\n| 0012 | gpt | writer-close-amplify-050 | running_s1 | -12 to +16 |  |  |  | - |\n| 0013 | gpt | writer-close-shift-011 | queued_s1 | -6 to +12 |  |  |  | - |\n| 0025 | gpt | code-writer-damp-r4-033 | queued_s1 | -6 to +12 |  |  |  | - |\n| 0026 | gpt | code-writer-damp-r4-011 | queued_s1 | -5 to +10 |  |  |  | - |\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n[... 889 lines cut ...]\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Refining hypothesis and testing strategy**\n**Confirming stable record state**"},{"i":201,"kind":"assistant","long":false,"text":"The runner accepted both writer entries as 0025 and 0026. The third candidate applies the contrast to 300 attention and MLP reader matrices. I\u2019ll check its first stored call before running the rest of the edit and control replay."},{"i":202,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -6 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_reader033.log; tail -2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/deadline_guard.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":203,"kind":"output","long":true,"text":" succeeded in 1125ms:\nPROBE code-writer-damp-r4-011-ctrl 7 seconds 280.9\nRESULT code-writer-damp-r4-011-ctrl {\"all\": {\"n\": 132, \"mean_dlp\": -0.0007710332279926165, \"mean_kl\": 0.0004262227380819316, \"max_kl\": 0.017141664400696754, \"top_same\": 0.9924242424242424, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.07268815706034233}, \"code\": {\"n\": 57, \"mean_dlp\": 0.0009186152889365704, \"mean_kl\": 0.00014047891155013865, \"max_kl\": 0.005071197170764208, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.11834007397032621}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.0022229086861258423, \"mean_kl\": 0.0007411423984136925, \"max_kl\": 0.017141664400696754, \"top_same\": 0.9830508474576272, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.03552542298527087}, \"turn\": {\"n\": 2, \"mean_dlp\": -0.009419592330232263, \"mean_kl\": 0.0016073310589490575, \"max_kl\": 0.003185246605426073, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.12074756622314453}, \"think\": {\"n\": 2, \"mean_dlp\": 1.9890668227162678e-05, \"mean_kl\": 7.083189302647952e-06, \"max_kl\": 1.3533897799788974e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.08595752716064453}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0005942859984315874, \"mean_kl\": 0.00010542533334501059, \"max_kl\": 0.0002099284902215004, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.2884683609008789}, \"close\": {\"n\": 2, \"mean_dlp\": -0.0001193385396618396, \"mean_kl\": 8.958121952673537e-06, \"max_kl\": 1.0558000212768093e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.0001193385396618396}, \"cont\": {\"n\": 8, \"mean_dlp\": -0.0006420420845643093, \"mean_kl\": 0.00013363831936880326, \"max_kl\": 0.0008182976744137704, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.013337135314941406}}\n\"\"\"Stop only this turn's own CPU worker before the user's 90-minute limit.\"\"\"\nimport time,datetime,os,signal,json\nfrom pathlib import Path\nA=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\ndeadline=datetime.datetime(2026,11,13,13,59,45,tzinfo=datetime.timezone.utc).timestamp()\nwhile time.time()<deadline and not (S/'STOP_GUARD').exists():time.sleep(min(20,max(0,deadline-time.time())))\nif not (S/'STOP_GUARD').exists():\n    (S/'STOP_WORKER').touch();parent=int((S/'worker.pid').read_text())\n    children=Path(f'/proc/{parent}/task/{parent}/children')\n    stopped=[]\n    for pid in children.read_text().split() if children.exists() else []:\n        proc=Path('/proc')/pid\n        if (proc/'cwd').resolve()!=C.resolve():continue\n        cmd=(proc/'cmdline').read_bytes().replace(b'\\0',b' ')\n        if b'fidelity_worker.py' in cmd:os.kill(int(pid),signal.SIGTERM);stopped.append(int(pid))\n    (S/'deadline_stop.json').write_text(json.dumps({'utc':datetime.datetime.now(datetime.timezone.utc).isoformat(),'stopped_own_workers':stopped}))\n\n[... 901 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Preparing log and resource checks**"},{"i":204,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ps -eo pid,ppid,etime,pcpu,args | grep -E \\\"prepare_entry.py code-reader|build_fidelity.py build --family readers|fidelity_worker.py\\\" | grep -v grep; du -sh /home/keith/gemma-v2/wsp31/authors/gpt/queue/code-reader-damp-r4-033'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":205,"kind":"output","long":true,"text":" succeeded in 215ms:\nbash: line 1: build_fidelity.py: command not found\nbash: line 1: fidelity_worker.py: command not found\ngrep: code-reader: No such file or directory\n16K\t/home/keith/gemma-v2/wsp31/authors/gpt/queue/code-reader-damp-r4-033\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n[... 887 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Adjusting script quoting approach**"},{"i":206,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'pgrep -af prepare_entry.py; pgrep -af build_fidelity.py; tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_reader033.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":207,"kind":"output","long":true,"text":" succeeded in 274ms:\n1835698 bash -c /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/update_notes.py; cd /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4 && nohup /home/keith/gemma-v2/tii-venv/bin/python prepare_entry.py code-reader-damp-r4-033 --scout > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_reader033.log 2>&1 < /dev/null &\n1835699 /home/keith/gemma-v2/tii-venv/bin/python prepare_entry.py code-reader-damp-r4-033 --scout\n1840270 bash -c pgrep -af prepare_entry.py; pgrep -af build_fidelity.py; tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_reader033.log\n1835701 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/build_fidelity.py build --family readers --dose 0.0033 --polarity -1 --out /home/keith/gemma-v2/wsp31/authors/gpt/queue/code-reader-damp-r4-033\n1840270 bash -c pgrep -af prepare_entry.py; pgrep -af build_fidelity.py; tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_reader033.log\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n[... 891 lines cut ...]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n succeeded in 50718ms:\nnotes_words 455 ready 2 pending 0\n\n**Reviewing large file operations**"},{"i":208,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ls /home/keith/gemma-v2/wsp31/queue; ls /home/keith/gemma-v2/wsp31/queue/frozen; tail -5 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_reader033.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":209,"kind":"output","long":true,"text":" succeeded in 244ms:\nCHAMPION.md\nSTATUS.md\n__pycache__\nbacklog.py\nbuild_stage_ids.py\nbuild_stage_ids.py.pre-s2clean\nconfig.json\nconfig.json.pre-b001res\nconfig.json.pre-cap128\nconfig.json.pre-shape2\ndash\ndash_collect.py\ndash_collect.py.pre-s2clean\nfrozen\nitems\nloop.out\nrunner.log\nrunner.py\nrunner.py.pre-b001res\n[... 931 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Reviewing decoder dimensions**"},{"i":210,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'Get-Content turn4/projector_dose.py; Get-Content turn4/build_fidelity.py | Select-Object -Last 90' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":211,"kind":"output","long":true,"text":" succeeded in 61ms:\nimport json,sys,statistics\nfrom pathlib import Path\nimport torch\nfrom safetensors.torch import load_file\nA=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4'\ntorch.set_num_threads(8);D=torch.load(C/'fidelity_directions.pt',weights_only=True)\nfor slug in sys.argv[1:]:\n    q=A/'queue'/slug;sd=load_file(str(q/'edit/adapter_model.safetensors'));rows=[]\n    for k,b in sd.items():\n        if not k.endswith('lora_B.weight'):continue\n        parts=k.split('.');l=int(parts[parts.index('layers')+1]);mod=parts[-3]\n        if mod not in ['o_proj','down_proj']:continue\n        sp='attn_write' if mod=='o_proj' else 'mlp_write';v=D[sp]['basis'][l].double();w=D[sp]['weight'][l].double()\n        u=v.T*w\n        beta=float((b.double()*u).sum()/u.square().sum())\n        rows.append({'layer':l,'module':mod,'signed_beta':beta,'leading_gain':1+beta,'all_gains':(1+beta*w).tolist()})\n    out={'rows':rows,'summary':{'min_beta':min(r['signed_beta'] for r in rows),'max_beta':max(r['signed_beta'] for r in rows),'median_beta':statistics.median(r['signed_beta'] for r in rows),'inverted_leading_modes':sum(r['leading_gain']<0 for r in rows)}}\n    (C/(slug+'_dose_geometry.json')).write_text(json.dumps(out,indent=2));print(slug,json.dumps(out['summary']))\n\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n[... 966 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Assessing resource needs and script adjustments**"},{"i":212,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'grep -n -A35 -B5 lora_A /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/tools/edits.py; tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/prepare_reader033.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":213,"kind":"output","long":true,"text":" succeeded in 222ms:\n61-            return\n62-        cfg = json.load(open(os.path.join(d, \"adapter_config.json\")))\n63-        sd = load_file(os.path.join(d, \"adapter_model.safetensors\"))\n64-        self._ch = {}\n65-        for k in sd:\n66:            if k.endswith(\"lora_A.weight\"):\n67-                p = k.split(\".\")\n68:                self._ch[(int(p[p.index(\"layers\") + 1]), p[-3])] = (sd[k], sd[k.replace(\"lora_A\", \"lora_B\")], cfg[\"lora_alpha\"] / cfg[\"r\"])\n69-\n70-    # ---- base weights (CPU) ---------------------------------------------------------------------------------\n71-    def _file(self):\n72-        if self._f is None:\n73-            if self.model_dir not in _FILES:          # one mapping of the checkpoint per process, shared by all sets\n74-                from safetensors import safe_open\n75-                _FILES[self.model_dir] = safe_open(os.path.join(self.model_dir, \"model.safetensors\"),\n76-                                                   framework=\"pt\", device=\"cpu\")\n77-            self._f = _FILES[self.model_dir]\n78-        return self._f\n79-\n[... 1834 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":214,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-reader-damp-r4-033-edit-p6'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":215,"kind":"output","long":true,"text":" succeeded in 271ms:\ncode-reader-damp-r4-033-edit-p6 PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 884 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Checking worker processes**"},{"i":216,"kind":"assistant","long":false,"text":"The reader candidate and its control passed the adapter checker. Both measure 0.33% of the whole network across 300 matrices. The first CPU replay is running."},{"i":217,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/update_notes.py; ps -p 1588967 -o pid,etime,pcpu,rss; grep -n -A45 def.save /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/tools/edits.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":218,"kind":"output","long":true,"text":" succeeded in 257ms:\nnotes_words 464 ready 2 pending 1\n    PID     ELAPSED %CPU   RSS\n1588967       58:45 1129 78985248\n215:    def save(self, path, r=None, max_rank=32, note=None):\n216-        \"\"\"Write the adapter. Fails if any module needs more than max_rank. Returns the report also written to\n217-        path/edit.json: per module the rank, |dW|_F and |dW|_F / |W|_F.\"\"\"\n218-        fac = self.factors()\n219-        assert fac, \"empty edit\"\n220-        need = max(u.shape[1] for u, _ in fac.values())\n221-        if need > max_rank:\n[line removed by the dashboard scrubber]\n223-            raise ValueError(f\"module {worst} needs rank {need} > max_rank {max_rank}\")\n224-        norms = {}\n225-        np_ = os.path.join(os.path.dirname(os.path.abspath(__file__)), \"data\", \"fro_norms.json\")\n226-        if os.path.exists(np_):\n227-            norms = json.load(open(np_))\n228-        rep = {\"modules\": {}, \"notes\": self.notes}\n229-        for (l, mod), (u, v) in fac.items():\n230-            # |U V|_F from the small Gram matrices, no dense product\n[... 1823 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":219,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-reader-damp-r4-033-edit-p6'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":220,"kind":"output","long":true,"text":" succeeded in 283ms:\ncode-reader-damp-r4-033-edit-p6 PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 884 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Preparing for final session**"},{"i":221,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'Get-Content turn4/finalize_entry.py' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":222,"kind":"output","long":true,"text":" succeeded in 58ms:\nimport argparse,sys,json,hashlib,shutil,subprocess,re,time,os\nfrom pathlib import Path\nA=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4';T=Path('/home/keith/gemma-v2/wsp31/tools');PY='/home/keith/gemma-v2/tii-venv/bin/python'\nos.environ.update(OMP_NUM_THREADS='8',MKL_NUM_THREADS='8',OPENBLAS_NUM_THREADS='8',PYTHONDONTWRITEBYTECODE='1')\ndef sha(p):return hashlib.sha256(Path(p).read_bytes()).hexdigest()\ndef main():\n    ap=argparse.ArgumentParser();ap.add_argument('slug');ap.add_argument('--ready',action='store_true');a=ap.parse_args()\n    q=A/'queue'/a.slug;assert not (q/'READY').exists()\n    probes={arm:json.loads((S/(a.slug+'-'+arm+'.json')).read_text()) for arm in ['edit','ctrl']}\n    for arm,p in probes.items():\n        assert p['summary']['all']['mean_kl']<1.0, f'{arm}: incoherent KL'\n        assert all(p['summary'].get(k,{'top_same':1})['top_same']==1 for k in ['turn','think','tool','close']), f'{arm}: format boundary changed'\n        assert p['summary']['code']['mean_dlp']>-.2, f'{arm}: large code likelihood loss'\n        shutil.copyfile(S/(a.slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n    # Exact rebuild into this author's scratch only. Never overwrite the queued adapter.\n    rebuild=S/'rebuild'/a.slug\n    with (q/'rebuild.log').open('w') as f:subprocess.run(['bash',str(q/'build.sh'),str(rebuild)],stdout=f,stderr=subprocess.STDOUT,check=True)\n    hashes={};mismatches=[]\n    for arm in ['edit','ctrl']:\n[... 2842 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Managing process guarding and auditing**"},{"i":223,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\final_audit.py\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_rea\n[... 58271 characters cut ...]"},{"i":224,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/stop_own_worker.py turn4/final_audit.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":225,"kind":"output","long":false,"text":" succeeded in 284ms:"},{"i":226,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-reader-damp-r4-033-edit-p6'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":227,"kind":"output","long":true,"text":" succeeded in 231ms:\ncode-reader-damp-r4-033-edit-p6\n[task] code_n 25 base_lp -0.009472627454978805 change 0.0005503033523814337\nsummary {\"all\": {\"n\": 60, \"mean_dlp\": 0.014880019430085175, \"mean_kl\": 0.014786673328798112, \"max_kl\": 0.28097859025001526, \"top_same\": 0.9666666666666667, \"base_logged_top\": 0.9833333333333333, \"edit_logged_top\": 0.9833333333333333, \"mean_close_dlp\": 0.9793349549174308}, \"code\": {\"n\": 25, \"mean_dlp\": 0.0005503033523814337, \"mean_kl\": 0.00022475328226670755, \"max_kl\": 0.004370300564914942, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.060788879394531}, \"thought\": {\"n\": 27, \"mean_dlp\": 0.02655210373948783, \"mean_kl\": 0.02586590647571804, \"max_kl\": 0.28097859025001526, \"top_same\": 0.9259259259259259, \"base_logged_top\": 0.9629629629629629, \"edit_logged_top\": 0.9629629629629629, \"mean_close_dlp\": 0.37601693471272785}, \"tool\": {\"n\": 1, \"mean_dlp\": 0.005551337730139494, \"mean_kl\": 0.003306466154754162, \"max_kl\": 0.003306466154754162, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.11944961547851562}, \"close\": {\"n\": 1, \"mean_dlp\": 0.22629407048225403, \"mean_kl\": 0.0500064417719841, \"max_kl\": 0.0500064417719841, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.22629407048225403}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 917 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":228,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/finish_scout.py code-reader-damp-r4-033'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":229,"kind":"output","long":true,"text":" succeeded in 245ms:\nqueued remaining scout checks code-reader-damp-r4-033\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 919 lines cut ...]\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Planning precise model combination**\n**Finalizing combo builder logic**\n[line removed by the dashboard scrubber]"},{"i":230,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":231,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/gpt/queue/code-writer-damp-r4-033/edit/adapter_config.json; head -25 /home/keith/gemma-v2/wsp31/authors/gpt/queue/code-writer-damp-r4-033/edit/edit.json; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/tools/adapters.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":232,"kind":"output","long":true,"text":" succeeded in 246ms:\n{\n \"base_model_name_or_path\": \"/home/keith/gemma-v2/models/gemma-4-31b-it-qat-w4a16-ct\",\n \"bias\": \"none\",\n \"lora_alpha\": 8,\n \"lora_dropout\": 0.0,\n \"peft_type\": \"LORA\",\n \"r\": 4,\n \"target_modules\": \"^model\\\\.language_model\\\\.layers\\\\.\\\\d+\\\\.(self_attn\\\\.(q_proj|k_proj|v_proj|o_proj)|mlp\\\\.(gate_proj|up_proj|down_proj))$\",\n \"task_type\": \"CAUSAL_LM\",\n \"use_rslora\": false\n}{\n \"modules\": {\n  \"0.down_proj\": {\n   \"rank\": 4,\n   \"fro\": 0.6339877326568997,\n   \"rel_fro\": 0.00845050299348888\n  },\n  \"0.o_proj\": {\n   \"rank\": 4,\n[... 4160 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":233,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/build_joint.py turn4/prepare_joint.py turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":234,"kind":"output","long":false,"text":" succeeded in 321ms:"},{"i":235,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-reader-damp-r4-033-edit-p7 code-reader-damp-r4-033-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":236,"kind":"output","long":true,"text":" succeeded in 235ms:\ncode-reader-damp-r4-033-edit-p7 PENDING\ncode-reader-damp-r4-033-ctrl PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n[... 1026 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Noting tool write delay**"},{"i":237,"kind":"assistant","long":true,"text":"The reader\u2019s second check call is still running. I\u2019ve prepared code for a possible fourth entry: an exact union of the reader and writer edits across all 420 matrices, with no rank increase or larger per-matrix dose. I\u2019ll finish the reader entry before starting it.\n\n**Summarizing finalization process**\n\nI'm organizing timing details and steps around finalizing a build, focusing on ensuring a concise summary of about 450 words with evidence, handling state toggles, dynamic metrics, and preparing fallback archival procedures if any steps fail or need manual review.\n2026-11-13T13:40:07.176684Z ERROR codex_core::tools::router: error=apply_patch verification failed: invalid patch: multiple operations target C:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\update_notes.py\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.e\n[... 139959 characters cut ...]"},{"i":238,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/refresh_notes.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":239,"kind":"output","long":false,"text":" succeeded in 279ms:"},{"i":240,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/refresh_notes.py; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-reader-damp-r4-033-edit-p7 code-reader-damp-r4-033-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":241,"kind":"output","long":true,"text":" succeeded in 331ms:\nnotes_words 430 ready 2 pending 1 final False\ncode-reader-damp-r4-033-edit-p7\n[task] code_n 32 base_lp -0.00015906619202854522 change -0.0001498875537484512\nsummary {\"all\": {\"n\": 72, \"mean_dlp\": -0.002990690002526719, \"mean_kl\": 0.01571971223709098, \"max_kl\": 0.4319544732570648, \"top_same\": 0.9722222222222222, \"base_logged_top\": 1.0, \"edit_logged_top\": 0.9722222222222222, \"mean_close_dlp\": 1.8270739098273527}, \"code\": {\"n\": 32, \"mean_dlp\": -0.0001498875537484512, \"mean_kl\": 8.522838821080347e-05, \"max_kl\": 0.002075738273561001, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.771395683288574}, \"thought\": {\"n\": 32, \"mean_dlp\": -0.01058671906311992, \"mean_kl\": 0.030828831900463816, \"max_kl\": 0.4319544732570648, \"top_same\": 0.9375, \"base_logged_top\": 1.0, \"edit_logged_top\": 0.9375, \"mean_close_dlp\": 1.1458158195018768}, \"tool\": {\"n\": 1, \"mean_dlp\": -1.2039932698826306e-05, \"mean_kl\": 4.186519618087914e-06, \"max_kl\": 4.186519618087914e-06, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 1.1171760559082031}, \"close\": {\"n\": 1, \"mean_dlp\": 0.0004628649912774563, \"mean_kl\": 0.0009941535536199808, \"max_kl\": 0.0009941535536199808, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.0004628649912774563}}\ncode-reader-damp-r4-033-ctrl PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n[... 1072 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing control timing and predictions**"},{"i":242,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":243,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/merge_scout.py code-reader-damp-r4-033; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-reader-damp-r4-033-edit'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":244,"kind":"output","long":true,"text":" succeeded in 256ms:\n{\"all\": {\"n\": 132, \"mean_dlp\": 0.005132359739569596, \"mean_kl\": 0.015295603642412404, \"max_kl\": 0.4319544732570648, \"top_same\": 0.9696969696969697, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9772727272727273, \"mean_close_dlp\": 1.4417380212319337}, \"code\": {\"n\": 57, \"mean_dlp\": 0.0001572137208699194, \"mean_kl\": 0.00014642351718269122, \"max_kl\": 0.004370300564914942, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.4597260324578536}, \"thought\": {\"n\": 59, \"mean_dlp\": 0.0064090134058700675, \"mean_kl\": 0.028557662638292017, \"max_kl\": 0.4319544732570648, \"top_same\": 0.9322033898305084, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9491525423728814, \"mean_close_dlp\": 0.7935349739204018}, \"turn\": {\"n\": 2, \"mean_dlp\": 0.024269167508464307, \"mean_kl\": 0.02925955888349563, \"max_kl\": 0.0578220933675766, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.6395034790039062}, \"think\": {\"n\": 2, \"mean_dlp\": 0.00013782594578515273, \"mean_kl\": 0.0001342502346233232, \"max_kl\": 0.000248863419983536, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.7071695327758789}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.002769648898720334, \"mean_kl\": 0.0016553263371861249, \"max_kl\": 0.003306466154754162, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.49886322021484375}, \"close\": {\"n\": 2, \"mean_dlp\": 0.11337846773676574, \"mean_kl\": 0.02550029766280204, \"max_kl\": 0.0500064417719841, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.11337846773676574}, \"cont\": {\"n\": 8, \"mean_dlp\": 0.0011585365509745316, \"mean_kl\": 0.02658407230294757, \"max_kl\": 0.11873934417963028, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.07891973853111267}}\ncode-reader-damp-r4-033-edit\n[task] code_n 25 base_lp -0.009472627454978805 change 0.0005503033523814337\n[task] code_n 32 base_lp -0.00015906619202854522 change -0.0001498875537484512\nsummary {\"all\": {\"n\": 132, \"mean_dlp\": 0.005132359739569596, \"mean_kl\": 0.015295603642412404, \"max_kl\": 0.4319544732570648, \"top_same\": 0.9696969696969697, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9772727272727273, \"mean_close_dlp\": 1.4417380212319337}, \"code\": {\"n\": 57, \"mean_dlp\": 0.0001572137208699194, \"mean_kl\": 0.00014642351718269122, \"max_kl\": 0.004370300564914942, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.4597260324578536}, \"thought\": {\"n\": 59, \"mean_dlp\": 0.0064090134058700675, \"mean_kl\": 0.028557662638292017, \"max_kl\": 0.4319544732570648, \"top_same\": 0.9322033898305084, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9491525423728814, \"mean_close_dlp\": 0.7935349739204018}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.002769648898720334, \"mean_kl\": 0.0016553263371861249, \"max_kl\": 0.003306466154754162, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.49886322021484375}, \"close\": {\"n\": 2, \"mean_dlp\": 0.11337846773676574, \"mean_kl\": 0.02550029766280204, \"max_kl\": 0.0500064417719841, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.11337846773676574}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n[... 1073 lines cut ...]\n+'',\n[line removed by the dashboard scrubb\n[... 260 characters cut ...]"},{"i":245,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -20 /home/keith/gemma-v2/wsp31/authors/gpt/queue/code-reader-damp-r4-033/edit/edit.json; tail -3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":246,"kind":"output","long":true,"text":" succeeded in 299ms:\n  },\n  \"59.v_proj\": {\n   \"rank\": 4,\n   \"fro\": 0.16353964181098105,\n   \"rel_fro\": 0.003584622657309781\n  }\n },\n \"notes\": [],\n \"note\": {\n  \"family\": \"readers\",\n  \"rank\": 4,\n  \"net_target\": 0.0033,\n  \"polarity\": -1,\n  \"seed\": 314000,\n  \"directions_sha256\": \"88fc5a64b35d7cbd2be6f5b6ffea7fa8d18c3f5af0bf31c28cabbbd0058801bf\",\n  \"formula\": \"signed spectral projector change; task differences of code arguments minus preceding thought; common component removed\"\n },\n \"net_rel\": 0.003299999898887222,\n \"changed\": 300\n[... 2180 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":247,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-reader-damp-r4-033-ctrl; tail -1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":248,"kind":"output","long":true,"text":" succeeded in 274ms:\ncode-reader-damp-r4-033-ctrl PENDING\nRESULT code-reader-damp-r4-033-edit-p7 {\"all\": {\"n\": 72, \"mean_dlp\": -0.002990690002526719, \"mean_kl\": 0.01571971223709098, \"max_kl\": 0.4319544732570648, \"top_same\": 0.9722222222222222, \"base_logged_top\": 1.0, \"edit_logged_top\": 0.9722222222222222, \"mean_close_dlp\": 1.8270739098273527}, \"code\": {\"n\": 32, \"mean_dlp\": -0.0001498875537484512, \"mean_kl\": 8.522838821080347e-05, \"max_kl\": 0.002075738273561001, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.771395683288574}, \"thought\": {\"n\": 32, \"mean_dlp\": -0.01058671906311992, \"mean_kl\": 0.030828831900463816, \"max_kl\": 0.4319544732570648, \"top_same\": 0.9375, \"base_logged_top\": 1.0, \"edit_logged_top\": 0.9375, \"mean_close_dlp\": 1.1458158195018768}, \"turn\": {\"n\": 1, \"mean_dlp\": 0.047632329165935516, \"mean_kl\": 0.0578220933675766, \"max_kl\": 0.0578220933675766, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.35231971740722656}, \"think\": {\"n\": 1, \"mean_dlp\": -4.184074714430608e-05, \"mean_kl\": 1.9637049263110384e-05, \"max_kl\": 1.9637049263110384e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.414020538330078}, \"tool\": {\"n\": 1, \"mean_dlp\": -1.2039932698826306e-05, \"mean_kl\": 4.186519618087914e-06, \"max_kl\": 4.186519618087914e-06, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 1.1171760559082031}, \"close\": {\"n\": 1, \"mean_dlp\": 0.0004628649912774563, \"mean_kl\": 0.0009941535536199808, \"max_kl\": 0.0009941535536199808, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.0004628649912774563}, \"cont\": {\"n\": 4, \"mean_dlp\": 0.02005010452012357, \"mean_kl\": 0.020932320335721233, \"max_kl\": 0.083588145673275, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.5786435604095459}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n[... 1069 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing task processing and data handling**"},{"i":249,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":250,"kind":"tool","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":251,"kind":"output","long":true,"text":" succeeded in 35ms:\nimport json,sys\nfrom pathlib import Path\nA=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4'\nfor arg in sys.argv[1:]:\n    p=S/(arg+'.json')\n    if not p.exists():print(arg,'PENDING');continue\n    r=json.loads(p.read_text());print(arg)\n    for iid in sorted({x['instance'] for x in r['rows']}):\n        row=[x for x in r['rows'] if x['instance']==iid and x['kind']=='code']\n        print(iid,'code_n',len(row),'base_lp',sum(x['base_lp'] for x in row)/len(row),'change',sum(x['dlp'] for x in row)/len(row))\n    print('summary',json.dumps({k:v for k,v in r['summary'].items() if k in ['code','thought','all','close','tool']}))\n18:    dp=[p['pos'] for p in r['points']]\n50:        types={p['pos']:p['kind'] for p in r['points']}\n52:            rows.append({'instance':r['instance'],'pos':p,'kind':types.get(p,'code' if p in b['code'] else 'thought'),\n57:    summary={}\n61:        summary[k]={'n':len(rr),'mean_dlp':sum(v['dlp'] for v in rr)/len(rr),'mean_kl':sum(v['kl'] for v in rr)/len(rr),\n65:    result={'job':job,'seconds':time.time()-t,'summary':summary,'rows':rows,'device':'cpu','method':'g31 mirror=True; CPU backend not compared against served edited model'}\n67:    print('RESULT',job['name'],json.dumps(summary),flush=True)\n\n[... 2184 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":252,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":253,"kind":"output","long":false,"text":" succeeded in 273ms:"},{"i":254,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-reader-damp-r4-033-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":255,"kind":"output","long":true,"text":" succeeded in 226ms:\ncode-reader-damp-r4-033-ctrl PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 1074 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Checking Python compile options**"},{"i":256,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python -m py_compile /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/build_joint.py /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/prepare_joint.py /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/finalize_entry.py /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/refresh_notes.py /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/stop_own_worker.py /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/final_audit.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":257,"kind":"output","long":true,"text":" succeeded in 246ms:\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\n[... 2168 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":258,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-reader-damp-r4-033-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":259,"kind":"output","long":true,"text":" succeeded in 240ms:\ncode-reader-damp-r4-033-ctrl PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 1074 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Reviewing final reader timing**"},{"i":260,"kind":"assistant","long":false,"text":"The first three candidates all use rank 4. The 0.33% writer and reader edits each meet the required size and matrix count. The remaining checks are the reader control replay and exact rebuild.\n\n**Inspecting CPU probe logs**"},{"i":261,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'grep \"'^PROBE /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log | tail -3; du -sh /home/keith/gemma-v2/wsp31/authors/gpt/scratch'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":262,"kind":"output","long":true,"text":" succeeded in 263ms:\nPROBE code-reader-damp-r4-033-edit-p6 6 seconds 141.4\nPROBE code-reader-damp-r4-033-edit-p7 7 seconds 147.4\nPROBE code-reader-damp-r4-033-ctrl 6 seconds 142.5\n1.3G\t/home/keith/gemma-v2/wsp31/authors/gpt/scratch\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n[... 2174 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":263,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-reader-damp-r4-033-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":264,"kind":"output","long":true,"text":" succeeded in 226ms:\ncode-reader-damp-r4-033-ctrl\n[task] code_n 25 base_lp -0.009472627454978805 change 0.0009441060942776858\n[task] code_n 32 base_lp -0.00015906619202854522 change -4.554460791172943e-06\nsummary {\"all\": {\"n\": 132, \"mean_dlp\": -0.002268330367508021, \"mean_kl\": 0.0002735486845096167, \"max_kl\": 0.006566372700035572, \"top_same\": 1.0, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9924242424242424, \"mean_close_dlp\": -0.07316444569887333}, \"code\": {\"n\": 57, \"mean_dlp\": 0.0004115247300285019, \"mean_kl\": 3.847836072600592e-05, \"max_kl\": 0.001285035745240748, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.11124030330724884}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.006580136311004315, \"mean_kl\": 0.00045183413671007433, \"max_kl\": 0.006566372700035572, \"top_same\": 1.0, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9830508474576272, \"mean_close_dlp\": -0.05362050412064892}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0005960548187431414, \"mean_kl\": 0.00010501840381493821, \"max_kl\": 0.0002097205724567175, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.2181539535522461}, \"close\": {\"n\": 2, \"mean_dlp\": 0.02626783879532013, \"mean_kl\": 0.0009577434627772163, \"max_kl\": 0.0019088353728875518, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.02626783879532013}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n[... 1075 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":265,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/finalize_entry.py code-reader-damp-r4-033 --ready'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":266,"kind":"output","long":true,"text":"diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\n[... 1071 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Reviewing timing and readiness**"},{"i":267,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\n**Tracking final task synchronization**\n**Planning concise summary format**\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_read','gate_proj':'mlp_read','up_proj':'mlp_read'}\n+    \n[... 69689 characters cut ...]"},{"i":268,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -3 /home/keith/gemma-v2/wsp31/authors/gpt/queue/code-reader-damp-r4-033/rebuild.log; cat /home/keith/gemma-v2/wsp31/queue/CHAMPION.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":269,"kind":"output","long":true,"text":" succeeded in 209ms:\nBUILD readers 50\nBUILD readers 60\nSAVED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/rebuild/code-reader-damp-r4-033 0.003299999898887222 0.0032999999029453037\n# Champion\n\nGeneration 0: the unedited model. No edit has passed yet.\n\nEvery batch scores an entry against this base: the reference arm is the champion and your edit and control are served as champion + your adapter (exact sum, `wsp31/tools/stack_exact.py`). Your entry is still only your own change (rank 32 or less). An edit that passes both screening stages becomes the next generation.\n\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n[... 2182 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":270,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/refresh_notes.py; OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/prepare_joint.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":271,"kind":"output","long":true,"text":" succeeded in 4120ms:\nnotes_words 438 ready 3 pending 0 final False\nQUEUED_PRETEST code-joint-damp-r4-047\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n[... 1075 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Preparing pre-test checks**"},{"i":272,"kind":"assistant","long":false,"text":"Three entries are now READY, including both required-size edits. I\u2019ve started the joint candidate\u2019s first check: it combines all 420 matrices at 0.467% whole-network size. Each stored factor matches its source entry exactly."},{"i":273,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/refresh_notes.py; grep gpt /home/keith/gemma-v2/wsp31/queue/STATUS.md; cat /home/keith/gemma-v2/wsp31/authors/gpt/queue/code-joint-damp-r4-047/build.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":274,"kind":"output","long":true,"text":" succeeded in 257ms:\nnotes_words 445 ready 3 pending 1 final False\n| 0011 | gpt | writer-close-amplify-033 | running_s1 | -7 to +14 |  |  |  | - |\n| 0012 | gpt | writer-close-amplify-050 | running_s1 | -12 to +16 |  |  |  | - |\n| 0013 | gpt | writer-close-shift-011 | queued_s1 | -6 to +12 |  |  |  | - |\n| 0025 | gpt | code-writer-damp-r4-033 | queued_s1 | -6 to +12 |  |  |  | - |\n| 0026 | gpt | code-writer-damp-r4-011 | queued_s1 | -5 to +10 |  |  |  | - |\n| 0027 | gpt | code-reader-damp-r4-033 | queued_s1 | -8 to +14 |  |  |  | - |\nedit exact union 420 matrices f8eec219c3fb2ab3a767923b9f63682f44666545f8d8b16422f39135eff2a12e\nctrl exact union 420 matrices 0e6228f204b741266ef4a0e94b6acdfe4d11dc8656c55d25d9c97f5a7c82d691\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n[... 1082 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Summarizing joint model evaluation**"},{"i":275,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'Get-Content turn4/decline_scout.py' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":276,"kind":"output","long":true,"text":" succeeded in 22ms:\nimport sys,json,shutil\nfrom pathlib import Path\nA=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug=sys.argv[1];q=A/'queue'/slug\nassert q.is_dir() and not (q/'READY').exists()\np=S/(slug+'-edit-p6.json');probe=json.loads(p.read_text());shutil.copyfile(p,q/'edit_scout.json')\n[line removed by the dashboard scrubber]\n(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n\\n'+json.dumps(probe['summary'],indent=2)+'\\n')\ntarget=S/'declined'/slug;target.parent.mkdir(exist_ok=True);assert not target.exists() and target.resolve().is_relative_to(A.resolve());q.rename(target)\nprint('declined',slug)\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n[... 2190 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":277,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":278,"kind":"output","long":false,"text":" succeeded in 272ms:"},{"i":279,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-joint-damp-r4-047-edit-p6'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":280,"kind":"output","long":true,"text":" succeeded in 262ms:\ncode-joint-damp-r4-047-edit-p6 PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 1082 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Tracking time intervals**"},{"i":281,"kind":"assistant","long":true,"text":"The runner accepted the reader entry as 0027. The joint candidate\u2019s checker and size checks also passed. Its replay will test whether the two edits reinforce each other; I won\u2019t assume their measured effects add.\n\n**Verifying script and audit details**\n**Reviewing computational resource usage**\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[fa\n[... 70323 characters cut ...]"},{"i":282,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-joint-damp-r4-047-edit-p6'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":283,"kind":"output","long":true,"text":" succeeded in 284ms:\ncode-joint-damp-r4-047-edit-p6 PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 1082 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Managing task timing**"},{"i":284,"kind":"assistant","long":true,"text":"The joint replay is still running. The three accepted entries and their records are complete, and `NOTES.md` is current. Scratch use is about 1.3 GB, below the 10 GB limit.\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+    spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_\n[... 70201 characters cut ...]"},{"i":285,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-joint-damp-r4-047-edit-p6'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":286,"kind":"output","long":true,"text":" succeeded in 221ms:\ncode-joint-damp-r4-047-edit-p6\n[task] code_n 25 base_lp -0.009472627454978805 change -0.005234897025299858\nsummary {\"all\": {\"n\": 60, \"mean_dlp\": 0.014796397984867937, \"mean_kl\": 0.06303780270865872, \"max_kl\": 1.1258941888809204, \"top_same\": 0.9333333333333333, \"base_logged_top\": 0.9833333333333333, \"edit_logged_top\": 0.95, \"mean_close_dlp\": 1.0605175415674846}, \"code\": {\"n\": 25, \"mean_dlp\": -0.005234897025299858, \"mean_kl\": 0.003989596457583744, \"max_kl\": 0.051700059324502945, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 3.830589828491211}, \"thought\": {\"n\": 27, \"mean_dlp\": 0.03260845708562691, \"mean_kl\": 0.11072133437725522, \"max_kl\": 1.1258941888809204, \"top_same\": 0.8518518518518519, \"base_logged_top\": 0.9629629629629629, \"edit_logged_top\": 0.8888888888888888, \"mean_close_dlp\": -0.9928546834875036}, \"tool\": {\"n\": 1, \"mean_dlp\": 0.0075779203325510025, \"mean_kl\": 0.009598786011338234, \"max_kl\": 0.009598786011338234, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.7888278961181641}, \"close\": {\"n\": 1, \"mean_dlp\": 0.13624000549316406, \"mean_kl\": 0.03005375526845455, \"max_kl\": 0.03005375526845455, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.13624000549316406}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 1082 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":287,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/finish_scout.py code-joint-damp-r4-047'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":288,"kind":"output","long":true,"text":" succeeded in 238ms:\nqueued remaining scout checks code-joint-damp-r4-047\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 1082 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing model run progress**"},{"i":289,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":290,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'Get-Content turn4/changed_choices.py' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":291,"kind":"output","long":true,"text":" succeeded in 26ms:\nimport sys,json,re\nfrom pathlib import Path\nA=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4';sys.path.insert(0,str(C/'tools'))\nimport g31\n[line removed by the dashboard scrubber]\nout={}\nfor name in sys.argv[1:]:\n    r=json.loads((S/(name+'.json')).read_text());changes=[]\n[line removed by the dashboard scrubber]\n        if row['base_top']==row['edit_top']:continue\n        ids=rs[row['instance']]['ids'];p=row['pos']\n        changes.append({'instance':row['instance'],'kind':row['kind'],'pos':p,'KL':row['kl'],\n           'context':tok.decode(ids[max(0,p-35):p+1]),'base':tok.decode([row['base_top']]),'edit':tok.decode([row['edit_top']]),'logged':tok.decode([row['next']])})\n    out[name]=changes\ntext=json.dumps(out,indent=2);text=re.sub(r'(?<![\\w.])(?:\\d{1,3}\\.){3}\\d{1,3}(?![\\w.])','[address omitted]',text)\n(C/'changed_choices.json').write_text(text)\nprint(json.dumps({k:v[:2] for k,v in json.loads(text).items()},indent=2))\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\n[... 2207 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":292,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/refresh_notes.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":293,"kind":"output","long":false,"text":" succeeded in 281ms:"},{"i":294,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/refresh_notes.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":295,"kind":"output","long":true,"text":" succeeded in 214ms:\nnotes_words 469 ready 3 pending 1 final False\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 1083 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Confirming task status**"},{"i":296,"kind":"assistant","long":false,"text":"The notes now distinguish the prediction results: the 0.33% writer narrowly missed its thought-likelihood target, while the 0.11% writer and 0.33% reader met their pooled ranges. None has a measured solve-rate gain yet.\n\n**Verifying guard process and stop script**"},{"i":297,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'readlink /proc/1645764/cwd; ps -p 1645764,1588965,1588967 -o pid,ppid,etime,args; cat /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.pid'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":298,"kind":"output","long":true,"text":" succeeded in 245ms:\n/home/keith\n    PID    PPID     ELAPSED COMMAND\n1588965       1    01:13:00 timeout 5100 /home/keith/gemma-v2/tii-venv/bin/python fidelity_worker.py\n1588967 1588965    01:13:00 /home/keith/gemma-v2/tii-venv/bin/python fidelity_worker.py\n1645764       1    01:02:28 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/deadline_guard.py\n1588965\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n[... 2198 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":299,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/stop_own_worker.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":300,"kind":"output","long":false,"text":" succeeded in 296ms:"},{"i":301,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-joint-damp-r4-047-edit-p7'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":302,"kind":"output","long":true,"text":" succeeded in 272ms:\ncode-joint-damp-r4-047-edit-p7 PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 2193 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Checking time references**"},{"i":303,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-joint-damp-r4-047-edit-p7'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":304,"kind":"output","long":true,"text":" succeeded in 253ms:\ncode-joint-damp-r4-047-edit-p7 PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 1084 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Managing update timing and communication**"},{"i":305,"kind":"assistant","long":true,"text":"The joint candidate\u2019s second-task replay is still running. After its control finishes, I\u2019ll either finalize it or archive the failed probe, then verify the queue and stop this turn\u2019s CPU processes.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\stop_own_worker.py\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n+        out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}\n+        diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}\n+    torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))\n+    print('FIT',json.dumps({k:{'mean_kept':sum(v['fraction_energy_kept'])/60,'mean_split_cos':sum(v['split_half_mean_cos'])/60} for k,v in diag.items()}),flush=True)\n+def build(family,dose,path,polarity=1):\n+    champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')\n+    if champ_path.exists():state=json.loads(champ_path.read_text())\n+    else:\n+        assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()\n+        state={'gen':0}\n+    assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'\n+    D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()\n+    mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]\n+ \n[... 70696 characters cut ...]"},{"i":306,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/stop_own_worker.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":307,"kind":"output","long":true,"text":" succeeded in 263ms:\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\n[... 1088 lines cut ...]\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing final audit process**\n**Deciding against citations**"},{"i":308,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-joint-damp-r4-047-edit-p7'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":309,"kind":"output","long":true,"text":" succeeded in 238ms:\ncode-joint-damp-r4-047-edit-p7\n[task] code_n 32 base_lp -0.00015906619202854522 change -0.0005520584762077618\nsummary {\"all\": {\"n\": 72, \"mean_dlp\": -0.04175498427398199, \"mean_kl\": 0.05515287319624437, \"max_kl\": 1.5752009153366089, \"top_same\": 0.9722222222222222, \"base_logged_top\": 1.0, \"edit_logged_top\": 0.9722222222222222, \"mean_close_dlp\": 3.3476358400051445}, \"code\": {\"n\": 32, \"mean_dlp\": -0.0005520584762077618, \"mean_kl\": 0.00045655209255087564, \"max_kl\": 0.01344988588243723, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 5.023068606853485}, \"thought\": {\"n\": 32, \"mean_dlp\": -0.09772817286475743, \"mean_kl\": 0.11724374896752976, \"max_kl\": 1.5752009153366089, \"top_same\": 0.9375, \"base_logged_top\": 1.0, \"edit_logged_top\": 0.9375, \"mean_close_dlp\": 2.0033766999840736}, \"tool\": {\"n\": 1, \"mean_dlp\": -3.600016498239711e-05, \"mean_kl\": 2.4336291971849278e-05, \"max_kl\": 2.4336291971849278e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.7538700103759766}, \"close\": {\"n\": 1, \"mean_dlp\": 0.0004957647179253399, \"mean_kl\": 0.0017224450130015612, \"max_kl\": 0.0017224450130015612, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.0004957647179253399}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 1091 lines cut ...]\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Summarizing control run and archiving**"},{"i":310,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":311,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/merge_scout.py code-joint-damp-r4-047'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":312,"kind":"output","long":true,"text":" succeeded in 244ms:\n{\"all\": {\"n\": 132, \"mean_dlp\": -0.016049810519959296, \"mean_kl\": 0.05873693206552363, \"max_kl\": 1.5752009153366089, \"top_same\": 0.9545454545454546, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9621212121212122, \"mean_close_dlp\": 2.308036613442572}, \"code\": {\"n\": 57, \"mean_dlp\": -0.0026059350328271023, \"mean_kl\": 0.0020061329544073967, \"max_kl\": 0.051700059324502945, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 4.500051598799856}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.03808259644678494, \"mean_kl\": 0.11425891517198039, \"max_kl\": 1.5752009153366089, \"top_same\": 0.8983050847457628, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9152542372881356, \"mean_close_dlp\": 0.6322199651750467}, \"turn\": {\"n\": 2, \"mean_dlp\": 0.028258132631890476, \"mean_kl\": 0.05284447659505531, \"max_kl\": 0.10462619364261627, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 2.756772994995117}, \"think\": {\"n\": 2, \"mean_dlp\": -1.9686798623297364e-05, \"mean_kl\": 0.00012437585428415332, \"max_kl\": 0.00018864922458305955, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 3.5156054496765137}, \"tool\": {\"n\": 2, \"mean_dlp\": 0.0037709600837843027, \"mean_kl\": 0.004811561151655042, \"max_kl\": 0.009598786011338234, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 1.7713489532470703}, \"close\": {\"n\": 2, \"mean_dlp\": 0.0683678851055447, \"mean_kl\": 0.015888100140728056, \"max_kl\": 0.03005375526845455, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": 0.0683678851055447}, \"cont\": {\"n\": 8, \"mean_dlp\": 0.009510239568954582, \"mean_kl\": 0.09378905395220105, \"max_kl\": 0.6004087924957275, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.670909583568573}}\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\turn4\\archive_joint.py\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n[... 1118 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":313,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/archive_joint.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":314,"kind":"output","long":true,"text":" succeeded in 256ms:\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/archive_joint.py b/turn4/archive_joint.py\n[... 2263 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":315,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp turn4/refresh_notes.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":316,"kind":"output","long":false,"text":" succeeded in 259ms:"},{"i":317,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-joint-damp-r4-047-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":318,"kind":"output","long":true,"text":" succeeded in 313ms:\ncode-joint-damp-r4-047-ctrl PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 1123 lines cut ...]\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Analyzing CPU-based finalization process**\n**Confirming audit path format**"},{"i":319,"kind":"assistant","long":true,"text":"The joint edit\u2019s pooled thought log probability fell by 0.0381 nat versus the base. Its control is still running. The three separate entries remain queued, and I won\u2019t start another candidate this turn.\n\n**Summarizing local code changes**\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/archive_joint.py b/turn4/archive_joint.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..38373391138e67965f546ea7d2f9b95ce9a3a82e\n--- /dev/null\n+++ b/turn4/archive_joint.py\n@@ -0,0 +1,22 @@\n+\"\"\"Keep the full failed combination probe without creating READY.\"\"\"\n+import json,datetime,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4'\n+slug='code-joint-damp-r4-047';q=A/'queue'/slug\n+assert q.is_dir() and not (q/'READY').exists()\n+e=json.loads((q/'edit_pretest.json').read_text())['summary']\n+c=json.loads((q/'ctrl_pretest.json').read_text())['summary']\n+gap=e['thought']['mean_dlp']-c['thought']['mean_dlp']\n+assert gap<.01,'Reassess the actual result before declining this candidate'\n+reason=f'''# Author declined this combination\n+\n+Completed {datetime.datetime.now(datetime.timezone.utc).isoformat()}.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+'''\n+(q/'AUTHOR_DECLINED.md').write_text(reason)\n+target=S/'declined'/slug;assert not target.exists()\n+assert target.resolve().is_relative_to(A.resolve()) and q.resolve().is_relative_to(A.resolve())\n+q.rename(target);print(reason)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean\n[... 72455 characters cut ...]"},{"i":320,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-joint-damp-r4-047-ctrl; grep \"'^PROBE /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/worker.log | tail -2'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":321,"kind":"output","long":true,"text":" succeeded in 263ms:\ncode-joint-damp-r4-047-ctrl PENDING\nPROBE code-joint-damp-r4-047-edit-p7 7 seconds 152.9\nPROBE code-joint-damp-r4-047-ctrl 6 seconds 150.1\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n[... 1125 lines cut ...]\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Reviewing final audit details**\n**Confirming process closure**"},{"i":322,"kind":"assistant","long":true,"text":"The joint control has finished its first task and is on the last call. After that result, I\u2019ll close the failed-combination record, check the runner\u2019s frozen files, and shut down the worker and deadline guard.\n\n**Analyzing task status and finalization conditions**\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/archive_joint.py b/turn4/archive_joint.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..38373391138e67965f546ea7d2f9b95ce9a3a82e\n--- /dev/null\n+++ b/turn4/archive_joint.py\n@@ -0,0 +1,22 @@\n+\"\"\"Keep the full failed combination probe without creating READY.\"\"\"\n+import json,datetime,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4'\n+slug='code-joint-damp-r4-047';q=A/'queue'/slug\n+assert q.is_dir() and not (q/'READY').exists()\n+e=json.loads((q/'edit_pretest.json').read_text())['summary']\n+c=json.loads((q/'ctrl_pretest.json').read_text())['summary']\n+gap=e['thought']['mean_dlp']-c['thought']['mean_dlp']\n+assert gap<.01,'Reassess the actual result before declining this candidate'\n+reason=f'''# Author declined this combination\n+\n+Completed {datetime.datetime.now(datetime.timezone.utc).isoformat()}.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+'''\n+(q/'AUTHOR_DECLINED.md').write_text(reason)\n+target=S/'declined'/slug;assert not target.exists()\n+assert target.resolve().is_relative_to(A.resolve()) and q.resolve().is_relative_to(A.resolve())\n+q.rename(target);print(reason)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+         \n[... 72481 characters cut ...]"},{"i":323,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-joint-damp-r4-047-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":324,"kind":"output","long":true,"text":" succeeded in 235ms:\ncode-joint-damp-r4-047-ctrl PENDING\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 1123 lines cut ...]\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Organizing final audit and cleanup**\n**Analyzing task baseline data**"},{"i":325,"kind":"assistant","long":true,"text":"Only the joint control\u2019s final call remains. The separate writer and reader entries are ready for screening; the combination has shown why their effects need to be tested together.\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/archive_joint.py b/turn4/archive_joint.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..38373391138e67965f546ea7d2f9b95ce9a3a82e\n--- /dev/null\n+++ b/turn4/archive_joint.py\n@@ -0,0 +1,22 @@\n+\"\"\"Keep the full failed combination probe without creating READY.\"\"\"\n+import json,datetime,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4'\n+slug='code-joint-damp-r4-047';q=A/'queue'/slug\n+assert q.is_dir() and not (q/'READY').exists()\n+e=json.loads((q/'edit_pretest.json').read_text())['summary']\n+c=json.loads((q/'ctrl_pretest.json').read_text())['summary']\n+gap=e['thought']['mean_dlp']-c['thought']['mean_dlp']\n+assert gap<.01,'Reassess the actual result before declining this candidate'\n+reason=f'''# Author declined this combination\n+\n+Completed {datetime.datetime.now(datetime.timezone.utc).isoformat()}.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+'''\n+(q/'AUTHOR_DECLINED.md').write_text(reason)\n+target=S/'declined'/slug;assert not target.exists()\n+assert target.resolve().is_relative_to(A.resolve()) and q.resolve().is_relative_to(A.resolve())\n+q.rename(target);print(reason)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+                if v[j,v[j].abs().argmax()]<0:v[j].neg_()\n+            vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())\n+            kept.append(float(s[:4].square().sum()/s.square().sum()))\n+            d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))\n[... 72398 characters cut ...]"},{"i":326,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/probe_report.py code-joint-damp-r4-047-ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":327,"kind":"output","long":true,"text":" succeeded in 238ms:\ncode-joint-damp-r4-047-ctrl\n[task] code_n 25 base_lp -0.009472627454978805 change 0.0003140716137059485\n[task] code_n 32 base_lp -0.00015906619202854522 change -1.6046001966696366e-05\nsummary {\"all\": {\"n\": 132, \"mean_dlp\": -0.001968614858577968, \"mean_kl\": 0.00034324033996400993, \"max_kl\": 0.01504045631736517, \"top_same\": 1.0, \"base_logged_top\": 0.9924242424242424, \"edit_logged_top\": 0.9924242424242424, \"mean_close_dlp\": -0.0659428604077689}, \"code\": {\"n\": 57, \"mean_dlp\": 0.00012874242595990225, \"mean_kl\": 2.9056765883951302e-05, \"max_kl\": 0.001170021714642644, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.1178343421534488}, \"thought\": {\"n\": 59, \"mean_dlp\": -0.005049012088182958, \"mean_kl\": 0.0006640772195805169, \"max_kl\": 0.01504045631736517, \"top_same\": 1.0, \"base_logged_top\": 0.9830508474576272, \"edit_logged_top\": 0.9830508474576272, \"mean_close_dlp\": -0.014715362403352382}, \"tool\": {\"n\": 2, \"mean_dlp\": -0.0007081208896124735, \"mean_kl\": 0.00016181947285076603, \"max_kl\": 0.0003230174188502133, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.18039512634277344}, \"close\": {\"n\": 2, \"mean_dlp\": -0.0002153777750208974, \"mean_kl\": 2.1186704032061243e-05, \"max_kl\": 4.11008732044138e-05, \"top_same\": 1.0, \"base_logged_top\": 1.0, \"edit_logged_top\": 1.0, \"mean_close_dlp\": -0.0002153777750208974}}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n[... 1123 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":328,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/finalize_entry.py code-joint-damp-r4-047'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":329,"kind":"output","long":true,"text":" succeeded in 4561ms:\n{\"slug\": \"code-joint-damp-r4-047\", \"size\": 0.00466686585583736, \"matrices\": 420, \"code_dlp_over_control\": -0.0027346774587870045, \"edit_kl\": 0.05873693206552363, \"byte_exact\": true, \"ready\": false}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n[... 1120 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":330,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/archive_joint.py; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/stop_own_worker.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":331,"kind":"output","long":true,"text":" succeeded in 5265ms:\n# Author declined this combination\n\nCompleted 2026-11-13T13:58:01.490529+00:00.\n\n[line removed by the dashboard scrubber]\n\n[line removed by the dashboard scrubber]\n\n{\"utc\": \"2026-11-13T13:58:06.528273+00:00\", \"owned_pids\": [1588965, 1588967, 1645764], \"remaining_pids\": [], \"graceful\": true}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n[... 1128 lines cut ...]\n+'GPU 0 is locked by screening b003; GPU 1 is never used. GPU lock time this turn: zero. CPU g31(device=cpu, mirror=True), 16 threads, takes about 2 minutes per 4k-6k call. Baseline comparisons are in code/turn4/cpu_served_baseline_agreement.json. CPU edited-model serving agreement is NOT VERIFIED; all task gains remain unmeasured. No rollout or server launched.',\n+'',\n+'Code and inputs: code/turn4/. Frozen builder dependencies: tools/ plus hashes. Work log: scratch/turn4/worker.log; worker PID file names its timeout parent. The worker captures means and reads jobs.json, then runs exact-prefix teacher-forced probes. Per-entry records state checker, official train_size, all replay numbers and limitations. READY requires byte-exact rebuild, unchanged format boundaries and bounded KL/code-likelihood loss. An owned-process deadline guard stops this worker at 13:59:45 UTC.',\n+'',\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))"},{"i":332,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 '/home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/refresh_notes.py --final; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/final_audit.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":333,"kind":"output","long":true,"text":" succeeded in 576ms:\nnotes_words 504 ready 3 pending 0 final True\n{\"entries\": 3, \"slugs\": [\"code-reader-damp-r4-033\", \"code-writer-damp-r4-011\", \"code-writer-damp-r4-033\"], \"all_byte_exact\": true, \"runner_rows\": [\"| 0027 | gpt | code-reader-damp-r4-033 | queued_s1 | -8 to +14 |  |  |  | - |\", \"| 0026 | gpt | code-writer-damp-r4-011 | queued_s1 | -5 to +10 |  |  |  | - |\", \"| 0025 | gpt | code-writer-damp-r4-033 | queued_s1 | -6 to +12 |  |  |  | - |\"], \"scratch_gib\": 1.5663853753358126, \"elapsed_minutes\": 87.62591685000001, \"gpu_lock_seconds\": 0, \"notes_words\": 504}\n\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n[... 1125 lines cut ...]\n[line removed by the dashboard scrubber]\n+text='\\n'.join(lines)+'\\n';assert len(text.split())<600\n+(A/'NOTES.md').write_text(text)\n+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))\n\n**Summarizing final audit lines**\n\nI\u2019m wrapping up with five clear markdown lines listing three entries and two status notes. Each line includes names, sizes, and reasons, highlighting that all are ready and accepted with byte-exact rebuilds. The CPU-only probes report gains as unmeasured, three failures are archived, and workers stopped after 87.6 minutes. I make sure to explicitly note zero GPU usage, even if it\u2019s implied, to keep everything transparent. I\u2019m focusing on clarity without citations or memory metrics, aiming for a concise overview fitting the requested format."},{"i":334,"kind":"assistant","long":true,"text":"0025 `code-writer-damp-r4-033`: 0.33%, 120 matrices; test code/prose style damping.  \n0026 `code-writer-damp-r4-011`: 0.11%, 120 matrices; test one-third dose.  \n0027 `code-reader-damp-r4-033`: 0.33%, 300 matrices; test the reader-side mechanism.  \nAll three READY and accepted; matched controls, checker passes, and byte-exact rebuilds verified.  \nThree failed candidates archived; NOTES updated; workers stopped at 87.6 minutes. Zero GPU time; task gains remain unmeasured.\ndiff --git a/turn4/archive_failed.py b/turn4/archive_failed.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7\n--- /dev/null\n+++ b/turn4/archive_failed.py\n@@ -0,0 +1,12 @@\n+import json,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug\n+assert q.exists() and not (q/'READY').exists()\n+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))\n[line removed by the dashboard scrubber]\n+(q/'AUTHOR_DECLINED.md').write_text(reason+'\\n')\n+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))\n+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)\n+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()\n+q.rename(target)\n+print('archived',target)\ndiff --git a/turn4/archive_joint.py b/turn4/archive_joint.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..38373391138e67965f546ea7d2f9b95ce9a3a82e\n--- /dev/null\n+++ b/turn4/archive_joint.py\n@@ -0,0 +1,22 @@\n+\"\"\"Keep the full failed combination probe without creating READY.\"\"\"\n+import json,datetime,shutil\n+from pathlib import Path\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4'\n+slug='code-joint-damp-r4-047';q=A/'queue'/slug\n+assert q.is_dir() and not (q/'READY').exists()\n+e=json.loads((q/'edit_pretest.json').read_text())['summary']\n+c=json.loads((q/'ctrl_pretest.json').read_text())['summary']\n+gap=e['thought']['mean_dlp']-c['thought']['mean_dlp']\n+assert gap<.01,'Reassess the actual result before declining this candidate'\n+reason=f'''# Author declined this combination\n+\n+Completed {datetime.datetime.now(datetime.timezone.utc).isoformat()}.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+'''\n+(q/'AUTHOR_DECLINED.md').write_text(reason)\n+target=S/'declined'/slug;assert not target.exists()\n+assert target.resolve().is_relative_to(A.resolve()) and q.resolve().is_relative_to(A.resolve())\n+q.rename(target);print(reason)\ndiff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8\n--- /dev/null\n+++ b/turn4/build_fidelity.py\n@@ -0,0 +1,65 @@\n+\"\"\"Closed-form rank-4 code/prose subspace edits. CPU, no optimizer.\"\"\"\n+import sys,json,argparse,hashlib\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'\n+sys.path.insert(0,str(C/'tools'))\n+from edits import EditSet\n+torch.set_num_threads(8);torch.set_grad_enabled(False)\n+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)\n+def fit():\n+    data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]\n+    out={};diag={}\n+    for space in ['attn_write','mlp_write','attn_read','mlp_read']:\n+        p=torch.stack([x['means'][space]['code'] for x in data]).double()\n+        n=torch.stack([x['means'][space]['thought'] for x in data]).double()\n+        common=unit((p+n).mean(0));diff=p-n\n+        diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]\n+        vec=[];weight=[];kept=[];cos=[]\n+        for l in range(60):\n+            u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)\n+            # Fix SVD signs for reproducible factors; the projection itself is sign invariant.\n+            for j in range(len(v)):\n+            \n[... 72692 characters cut ...]"},{"i":335,"kind":"meta","long":false,"text":"341,770\n0025 `code-writer-damp-r4-033`: 0.33%, 120 matrices; test code/prose style damping.  \n0026 `code-writer-damp-r4-011`: 0.11%, 120 matrices; test one-third dose.  \n0027 `code-reader-damp-r4-033`: 0.33%, 300 matrices; test the reader-side mechanism.  \nAll three READY and accepted; matched controls, checker passes, and byte-exact rebuilds verified.  \nThree failed candidates archived; NOTES updated; workers stopped at 87.6 minutes. Zero GPU time; task gains remain unmeasured."}],"updated":"2026-11-15T02:05:54Z"}