31B WEIGHT PROGRAMMING / SESSION TRACE
Turn 4 · gpt
solostarted Nov 13, 7:30 AM · ended Nov 13, 8:58 AM (ET)
done · exit 0
336 steps · updated 29 min ago
user
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. 2026-11-13T12:30:30.119614Z ERROR codex_memories_write::phase2: Phase 2 no changes
assistant
I’ll read the brief on wrx90, then complete each queue entry and keep NOTES.md current.
tool
"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
output
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succeeded in 255ms: # wsp31 author brief (read fully at the start of every turn) You are one of three authors (claude, gpt, gemini) taking turns. Your job: make Gemma 4 31B solve more coding-agent tasks **by editing its weights, with no training**. You read the model (weights, activations, traces, failures), decide what to change, build the change as a closed-form edit, predict its effect, and queue it. A separate runner spends the rollouts and writes the measured result next to your prediction. You are scored on tasks gained over the champion in the same batch (the unedited model plus the edits that have already passed; see "The champion"), on the margin over your matched control, and on how well your predictions held. **Be bold.** Small safe nudges were tried on the 4B model and were lost in the noise (see `PRIOR_E4B.md`). A queue slot is cheap; a third variation of a null result is a wasted slot. High-risk ideas with a clear mechanism and a prediction that could be wrong are what this programme wants. Say what would prove you wrong. ## Where you work - Everything happens on host `wrx90`, reached with `ssh -o BatchMode=yes wrx90 '<command>'`. Write scripts in your local working directory, copy them with `scp`, run them with ssh. Keep ssh output small (`tail`, `cut`, `head`). - Root: `/home/keith/gemma-v2` (below: `$R`). Python: `$R/tii-venv/bin/python` (torch, transformers, vLLM 0.19.1, peft, safetensors; no scipy). `. $R/env.sh` sets `R` and `PY`. [... 190 lines cut ...] - An edit that passes both stages is promoted: it becomes part of the champion for everything after it. - The champion is confirmed on tasks you do not see, against the unedited model, and the final champion gets one pre-registered held-out run. A changed edit is a new edit. - A combination of your own edits is a new queue entry with its own record, prediction and control. Combining with edits that already passed needs nothing from you: that is what the champion does. Single-run agent evaluations are noisy by several tasks. An edit worth having shows up as ten or more tasks. Aim there.
tool
"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
output
succeeded in 196ms: (28 lines, middle cut at capture)
succeeded in 196ms: # Author gpt — turn 1, 2026-11-12 Three entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay: - 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. - writer-close-amplify-050: 0.500014%, 120 matrices, rank 1. Stronger dose; prediction -12 to +16. Largest tested close dose passing the format checks. - writer-close-shift-011: 0.110001%, 120 matrices, rank 1. Common writer component mapped toward the end contrast; prediction -6 to +12. All 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. Pinned 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. [line removed by the dashboard scrubber] [line removed by the dashboard scrubber] Deferred, 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. Final 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. [... 33 lines cut ...] Waiting for stage 1: 11. Waiting for stage 2: 0. # Champion Generation 0: the unedited model. No edit has passed yet. Every 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.
tool
"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
output
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succeeded in 27ms: [line removed by the dashboard scrubber] [line removed by the dashboard scrubber] 354:## Task 1: Configure AI-agent SSH access on local PC and WRX90, partial [line removed by the dashboard scrubber] 590:- CASMI26, Grok Bot, ownership.json, ROCm, HIP, AMD Radeon RX 9070 XT, run_guarded.py, WRX90, record_codex_takeover.py, P18.001, R01 638:- 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] 780:# Task Group: WRX90 disk audit and verification-gated cleanup 782: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 783: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 785:## Task 1: Audit WRX90 disk usage and optionize cleanup, success 793:- WRX90, wrx90-blackwell, disk-audit, WD_BLACK SN8100, 99% full, workstation-runs, Docker mounts, /tmp tmpfs, nvidia-smi driver/library mismatch 815:## Task 4: Delete six requested WRX90 folders with live-use verification, success 823:- WRX90, wrx90-blackwell, /home/keith/arc2_rl, RL watchdog, failsafe lock, crontab, /proc, Docker mounts, device/inode, deletion-receipt.jsonl, finish-receipt.jsonl 834:- `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] 847:- 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] [line removed by the dashboard scrubber] 918:- 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 928:- mdlARC, DeepLoop, deeploop, arXiv:[port].13491, shared repeated transformer blocks, normalization, residual scaling, initialization, 120 public ARC2 tasks, GPU1, WRX90, mdlarc-data/TRAINING.md 941:- 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 “Agreed architecture experiment: DeepLoop adapted to mdlARC”; live state remains time-sensitive. [Task 1][Task 2] [ad-hoc note]
tool
"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
output
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succeeded in 214ms: # Ledger index (generated by tools/ledger.py index; do not edit by hand) Read this before proposing anything. A row marked `null` or `harmful` is not to be retried unless the new record says what is different and why that difference should matter. | id | date | author | track | title | set / batch | status | verdict | result | |---|---|---|---|---|---|---|---|---| | [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 | | [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 | | [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 | | [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) | | [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 | | [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 | | [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 | - | - | | [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 | - | - | [line removed by the dashboard scrubber] | [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 | - | - | | [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 | - | - | | [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 | - | - | [... 91 lines cut ...] 1. Development gains of 3 to 5 tasks of 170 did not survive held-out data. Single-run agent evaluation noise is several tasks; a held-out test of +5 of 130 needs about 790 tasks x 3 rollouts for 80% power. Hence larger screening sets, replication before confirmation, and a separate confirmation tier before golden. 2. Two servers with the same weights differed by 11.7 tasks in one run. Arms are compared only within a server. 3. Greedy decoding was not repeatable run to run on the serving stack. Identical-arm noise is measured, not assumed. 4. Early batches flattered an edit (+4.3) and later ones did not (+1.1). Replication is part of the pass rule. 5. S [... 200 characters cut ...]
tool
"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
output
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succeeded in 235ms:
---
id: 0001
date: 2026-11-12
author: claude
track: baseline
title: Unedited 31B on the screening set, two passes (base rate and identical-arm noise)
status: done
set: wsp31_screen_v1
batch: s1_base
verdict: inconclusive
result: stopped at 59 of 720 episodes; 54% ended at the session limit at concurrency 16
---
## Hypothesis
No edit. This record measures what every later edit is compared with: the unedited model's solve rate on the 360
screening tasks, how often the same weights give a different outcome on the same task, and the size of a paired
difference between two identical arms. The screening pass rule is fixed from these numbers.
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## Amendment (13 Nov 2026, 1:31 AM ET)
Format only: the front-matter `result` line was reworded ("of |mlp_out|" to "of the size of mlp_out") because the
character | broke the ledger index (`ledger.py check`). No number or statement changed.
**Optimizing document handling**tool
"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
output
succeeded in 227ms: (29 lines, middle cut at capture)
succeeded in 227ms:
# wsp31 tools for edit authors
Changelog (newest first; times US Eastern):
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the first version got -1.4 to +0.65 of the wanted move). **Pre-test defaults: the complete b001 sets** (section 6).
- Fri 13 Nov, 12:39 AM: speed with repeats (trap 12): **the server's rank limit sets the price of an adapter**.
- Thu 12 Nov: 11:40 PM first served runs of `dose.py`, `validate.py`, `vgen.py`, `closeprobe.py`; 10:55 PM stacks
of rank 34 to 96 applied as written; 10:30 PM **thought-end pre-tests need exact contexts**, rank limits 64 or 128
(never 96); 10:00 PM champion support, network-wide builders; 8:36 PM first version. Earlier commands all still work.
Everything here lives in `$R/wsp31/tools` (below `$T`; `$R = /home/keith/gemma-v2`). Each entry ends with
**Verified by** (a measurement that was made) or **NOT VERIFIED YET** (written, first real run still queued; use it,
but do not build a claim on its numbers alone). Architecture facts are in `$T/ARCH.md` (read "Consequences for
weight edits" there before designing an edit); measurements with commands are in `$T/REPORT.md`.
. /home/keith/gemma-v2/env.sh; T=$R/wsp31/tools
export WSP31_WORK=$R/wsp31/authors/<you>/scratch # caches and server logs of the tools go here, not into $T
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the tools lane has since marked as an older harness. Those packs are not used. Ground truth will be re-measured
on `tools/data/probe_screen.jsonl` before any reader sees a C or D item.
- The agy reader: no family-A answer and no scale-up answer (amendment 4a); at about 9 minutes per call and with
half of the calls empty it is still inside the family-B pilot, in the fixed order of amendment 2, and is
reported with its n. Every verdict of section 4 is for two readers.
- Priority 4 of the lane (do atlas or reader predictions agree with what edits did in rollouts): eleven entries
are queued, none has a stage-1 result yet; predictions and scorer registered (amendments 5 to 5d, section
3.6).tool
"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
output
exited 1 in 228ms: sed: -e expression #1, char 4: unterminated address regex bash: line 1: /^##: No such file or directory **Avoiding truncation during download**
assistant
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’m checking other failure patterns before choosing this turn’s entries.
tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command 'New-Item -ItemType Directory -Force turn4 | Out-Null
output
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 (29 lines, middle cut at capture)
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/ Get-Content turn4/ARCH.md' in C:\Users\Owner\wsp31_loop\work\gpt succeeded in 1062ms: # Gemma 4 31B (QAT w4a16) architecture, as served Source: `config.json` and the safetensors header of `/home/keith/gemma-v2/models/gemma-4-31b-it-qat-w4a16-ct` (one file, 23.27 GB, 2009 tensors) and the vLLM 0.19.1 model code that serves it (`vllm/model_executor/models/gemma4.py`). The lane's forward pass `g31.py` implements exactly this graph; its agreement with the server is measured in `REPORT.md`. ## Sizes | item | value | |---|---| | layers | 60 | | residual width d | 5376 | | MLP width | 21504 neurons per layer (4 d), gated: `gelu_tanh(gate . x) * (up . x)` | | attention heads | 32 query heads per layer | [line removed by the dashboard scrubber] [line removed by the dashboard scrubber] [... 119 lines cut ...] Decision points labelled in the probe sets (`probeset.py`): the position *after which* the model decides. [line removed by the dashboard scrubber] |---|---|---| | `turn` | newline after `<|turn>model` | think first (`<|channel>`) or call a tool at once | | `step` | `<tool_response|>` that closes a tool result | think, call another tool, or answer in text | | `think` | `<channel|>` that closes a thought | call a tool or write text | [line removed by the dashboard scrubber]
tool
"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
output
succeeded in 251ms: (29 lines, middle cut at capture)
succeeded in 251ms: /home/keith/gemma-v2/wsp31/authors/gpt/code/close033_record.json /home/keith/gemma-v2/wsp31/authors/gpt/code/audit_boundary.py /home/keith/gemma-v2/wsp31/authors/gpt/code/author_capture.py /home/keith/gemma-v2/wsp31/authors/gpt/code/build_project.py /home/keith/gemma-v2/wsp31/authors/gpt/code/audit_snapshot.py /home/keith/gemma-v2/wsp31/authors/gpt/code/non_split.py /home/keith/gemma-v2/wsp31/authors/gpt/code/probe_job.sh /home/keith/gemma-v2/wsp31/authors/gpt/code/boundary_probe.py /home/keith/gemma-v2/wsp31/authors/gpt/code/refine_select.py /home/keith/gemma-v2/wsp31/authors/gpt/code/freeze_code.py /home/keith/gemma-v2/wsp31/authors/gpt/code/geom_summary.py /home/keith/gemma-v2/wsp31/authors/gpt/code/served_job.sh /home/keith/gemma-v2/wsp31/authors/gpt/code/update_frozen_manifest.py /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py /home/keith/gemma-v2/wsp31/authors/gpt/code/pipeline_job.sh /home/keith/gemma-v2/wsp31/authors/gpt/code/pipeline2_job.sh /home/keith/gemma-v2/wsp31/authors/gpt/code/data/episodes.jsonl /home/keith/gemma-v2/wsp31/authors/gpt/code/data/refine_selection.json /home/keith/gemma-v2/wsp31/authors/gpt/code/data/capture.pt [... 128 lines cut ...] pipewire 3157 /run/user/1000/pipewire-0.lock pipewire 3157 /run/user/1000/pipewire-0-manager.lock dockerd 3797 /... containerd 3053 /... nvidia-persiste 2736 /run/snapd/ns... cron 2742 /run/snapd/ns... **Assessing GPU availability constraints**
tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command 'Get-Content turn4/TOOLS.md | Select-Object -Skip 220
output
Get-Content turn4/2026-11-12-weight-editing-survey.md | Select-Object -First 240' in C:\Users\Owner\wsp31_loop\work\gpt (28 lines, middle cut at capture)
Get-Content turn4/2026-11-12-weight-editing-survey.md | Select-Object -First 240' in C:\Users\Owner\wsp31_loop\work\gpt
succeeded in 75ms:
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reports p(close) at both per depth band; `replay.py` scores whole logged answers. `think` points of the
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flock $R/wsp31/gpu0.lock timeout 1500 $PY $T/closeprobe.py --adapter queue/my-slug/edit --out close_edit.json
The other probes use the labelled decision points of the default set (section 6; `--traces 12 --per-trace 8
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--alpha X`, `--project-out`. ACTIVE means "moves the distribution without wrecking it", not "better"; no probe
verdict has yet been compared with a rollout result. `dose.py` serves one edit at each whole-network size and
reports per dose the change at decision points, well-formed tool calls, repetition, empty turns, unclosed thinking
and speed, ending with "largest coherent dose". Delete the causal base cache (`$WSP31_WORK/data/cache`) when done.
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$PY $T/wv_neuron.py 40 1234 [--layers 38-42] # norms, write lens, read lens, nearest neurons
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8. **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.).
9. **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.
10. **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).
11. **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.
12. **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.
---tool
"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
output
succeeded in 243ms: (29 lines, middle cut at capture)
succeeded in 243ms:
"""g31: loader, dequantiser and hooked dense forward pass for Gemma 4 31B (QAT w4a16, compressed-tensors
pack-quantized checkpoint), written to mirror what vLLM 0.19.1 computes when it serves that checkpoint with
--dtype bfloat16 (vllm/model_executor/models/gemma4.py). Library for the wsp31 tools lane; see ARCH.md and REPORT.md.
Conventions: "mod" is one of q_proj k_proj v_proj o_proj gate_proj up_proj down_proj. Global (full-attention)
layers have no v_proj tensor in the checkpoint: vLLM loads k_proj into both the K and the V slot, so
weight(l, "v_proj") returns the k_proj weight there. All weights are returned as bf16 [out, in].
"""
import json
import math
import os
import struct
import torch
import torch.nn.functional as F
R = "/home/keith/gemma-v2"
MODEL_DIR = f"{R}/models/gemma-4-31b-it-qat-w4a16-ct"
LM = "model.language_model."
[... 204 lines cut ...]
print(str(d),'CAUSAL',json.dumps(r['summary']),r['verdict'],flush=True)
r=target(m,str(d),limit=args.max_pos,traces=args.traces)
json.dump(r,open(d.parent/(d.name+'_target.json'),'w'),indent=2)
print(str(d),'TARGET',json.dumps(r['summary']),flush=True)
if __name__=='__main__':main()
**Tracking time elapsed**tool
"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
output
succeeded in 221ms: (29 lines, middle cut at capture)
succeeded in 221ms:
return F.gelu(x, approximate="tanh")
class Adapter:
"""A PEFT LoRA adapter in the arena format, as {(layer, mod): (A [r, in] bf16, B*alpha/r [out, r] bf16)}."""
def __init__(self, path, device="cuda:0"):
from safetensors.torch import load_file
cfg = json.load(open(os.path.join(path, "adapter_config.json")))
self.scale = cfg["lora_alpha"] / cfg["r"]
sd = load_file(os.path.join(path, "adapter_model.safetensors"))
self.mods = {}
for k in sd:
if not k.endswith("lora_A.weight"):
continue
parts = k.split(".")
l, mod = int(parts[parts.index("layers") + 1]), parts[-3]
a = sd[k].to(device=device, dtype=BF)
b = (sd[k.replace("lora_A", "lora_B")].float() * self.scale).to(device=device, dtype=BF)
[... 254 lines cut ...]
out = []
for s in range(0, self.emb.shape[0], 32768):
out.append(F.linear(hp.float(), self.emb[s:s + 32768].float()))
return torch.cat(out, dim=-1)
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command '$s=Get-Content turn4/2026-11-12-weight-editing-survey.md -Encoding utf8
output
$a=($s | Select-String '"'"'^## C'"\\.' ).LineNumber (24 lines, middle cut at capture)
$a=($s | Select-String '"'"'^## C'"\\.' ).LineNumber "'$b=($s | Select-String '"'"'^## D'"\\.' ).LineNumber "'$s[($a-1)..($b-2)] Get-Content turn4/REPORT.md -Encoding utf8 | Select-Object -First 160' in C:\Users\Owner\wsp31_loop\work\gpt succeeded in 76ms: ## C. Ranked edit ideas for raising a Gemma 4 31B coding agent's held-out solve rate (no training) Ranking 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. | # | Idea | Motivating source | Data needed | Risk | |---|---|---|---|---| | 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 ≤0) | 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 | [line removed by the dashboard scrubber] [line removed by the dashboard scrubber] | 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 α 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–high. 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" | | 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 | | 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→90%; QA 0.29→0.56); 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 | | 7 | **RYS middle-block duplication.** Materialise a 61–68-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–high. Weak evidence; adds KV cache; counts as an architecture edit for framing | | 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 | | 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 | [... 174 lines cut ...] **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 0.0021). agy: not run on family A (n 0, Holm p 1; am [... 502 characters cut ...]
tool
"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
output
succeeded in 238ms: (29 lines, middle cut at capture)
succeeded in 238ms:
total 36M
-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 brief.pt
-rw-rw-r-- 1 keith keith 65K Nov 12 23:44 close_outcome.json
-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 close_rendered.pt
-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 close_thought.pt
-rw-rw-r-- 1 keith keith 1.1M Nov 13 04:53 dose.json
-rw-rw-r-- 1 keith keith 78K Nov 13 07:30 dose_eval.json
-rw-rw-r-- 1 keith keith 19K Nov 13 07:30 dose_eval_hold6_0104.json
-rw-rw-r-- 1 keith keith 221K Nov 13 00:15 edit_align.json
-rw-rw-r-- 1 keith keith 449K Nov 13 01:11 edit_align4.json
-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 finished.pt
-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 patch.pt
-rw-rw-r-- 1 keith keith 8.6K Nov 12 23:11 post.json
-rw-rw-r-- 1 keith keith 3.8K Nov 13 00:30 repeat_var.json
-rw-rw-r-- 1 keith keith 1.7K Nov 12 23:11 replay_agree.json
-rw-rw-r-- 1 keith keith 989 Nov 12 23:49 score_pred.json
-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 solved.pt
-rw-rw-r-- 1 keith keith 59K Nov 12 23:10 summary.json
-rw-rw-r-- 1 keith keith 3.8M Nov 12 23:10 tests_run.pt
[... 122 lines cut ...]
def write_dir(self, layers, D, alpha=1.0, mods=WRITERS, space="module"):
"""For every layer in `layers` and every writer in `mods` (o_proj, down_proj): dW = alpha * P W, with P
the projector on the direction(s) D: the matrix writes (1 + alpha) times as strongly along D (alpha = -1
removes D from everything it writes). Rank k per matrix. Returns the number of matrices edited."""
assert space in ("module", "stream") and set(mods) <= set(WRITERS), (space, mods)
n = 0
PID ELAPSED COMMAND
1506362 03:57 python3 wsp31/queue/runner.py looptool
"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
output
succeeded in 707ms: (29 lines, middle cut at capture)
succeeded in 707ms:
**Evaluating CPU performance and benchmarking**
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn4\cpu_bench.py
C:\Users\Owner\wsp31_loop\work\gpt\turn4\inspect.py
diff --git a/turn4/cpu_bench.py b/turn4/cpu_bench.py
new file mode 100644
index 0000000000000000000000000000000000000000..1bb8b5dd7ea9b7a84bb44fabd606668197ee2fe6
--- /dev/null
+++ b/turn4/cpu_bench.py
@@ -0,0 +1,15 @@
+import sys,time,json,os
+from pathlib import Path
+os.environ['CUDA_VISIBLE_DEVICES']=''
+sys.path.insert(0,'/home/keith/gemma-v2/wsp31/tools')
+import torch,g31
+torch.set_num_threads(16)
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')
+r=json.loads((A/'code/turn4/short_calls.jsonl').read_text().splitlines()[0])
[... 29 lines cut ...]
+out=A/'code/turn4';out.mkdir(exist_ok=True);(A/'scratch/turn4').mkdir(exist_ok=True)
[line removed by the dashboard scrubber]
+selected=[]
+for r in rows:
+ if r['instance'] not in [x['instance'] for x in selected]:selected.append(r)
+ if len(selected)==12:break
+(out/'short_calls.jsonl').write_text(''.join(json.dumps(r)+'\n' for r in selected))
+print('short selected',[(r['instance'],len(r['ids'])) for r in selected])tool
"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/
output
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\ (5 lines, middle cut at capture)
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
exited 1 in 3041ms:
schema {'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]}]}
shortest [(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
[... 6570 characters cut ...]tool
"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
output
succeeded in 2689ms: (5 lines, middle cut at capture)
succeeded in 2689ms:
shortest [(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}])]
cpu : AMD Ryzen Threadripper PRO 9965WX 24-Cores
solved {'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
[... 10405 characters cut ...]tool
"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\gptoutput
succeeded in 85ms: (29 lines, middle cut at capture)
succeeded in 85ms:
0001-claude-unedited-baseline-noise-floor.md
No edit. This record measures what every later edit is compared with: the unedited model's solve rate on the 360
screening tasks, how often the same weights give a different outcome on the same task, and the size of a paired
difference between two identical arms. The screening pass rule is fixed from these numbers.
0002-claude-state-of-the-art-survey.md
Not an experiment. A literature search (a Claude sub-agent, about 180 tool calls) over LLM-authored weight edits,
steering baked into weights, model editing, task arithmetic and merging, weight-space interpretability, training-free
gains on agentic coding, tooling, and evaluation practice.
0003-claude-identical-arms-batch-noise-floor.md
No edit. Three arms with the same weights run side by side on one server, in the configuration every screening
batch will use, so that the noise is measured under the load that edits will be judged under:
- `base`: the model under its first served name;
- `aa`: the same model under its second served name (`gemma-4-31b`);
- `zero`: the model through an adapter whose delta is exactly zero on all seven module types of all 60 layers
[... 336 lines cut ...]
+ if len(selected)==12:break
+(out/'short_calls.jsonl').write_text(''.join(json.dumps(r)+'\n' for r in selected))
+print('short selected',[(r['instance'],len(r['ids'])) for r in selected])
**Designing content-focused model improvements**
**Optimizing read chunk parameters**
I’m 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.assistant
GPU 0 is serving a screening batch. I’ll 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’m also examining how the model reads and uses file text.
tool
"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
output
succeeded in 237ms: (29 lines, middle cut at capture)
succeeded in 237ms:
loaded 0.01056218147277832
layer0_seconds 1.5179193019866943 length 2597
import os, sys, json, hashlib, time
from pathlib import Path
import torch
A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')
T=str(A/'code/tool_snapshot')
sys.path.insert(0,T)
import g31
torch.set_num_threads(8)
def spread(xs,n):
return xs if len(xs)<=n else [xs[round(i*(len(xs)-1)/(n-1))] for i in range(n)]
def classes(r,limit=11000,n=64):
ids=r['ids'][:limit]; groups={k:[] for k in ['early','late','end','non','think','tool']}
depth=None
for p,t in enumerate(ids[:-1]):
if t==100: depth=0
[... 116 lines cut ...]
if not tested_since_edit: no_test_after_last_edit += 1
print(f"=== {grp.upper()} (n={n_tot}) ===")
print(f" ran_pytest/unittest: {ran_pytest}/{n_tot} ({100*ran_pytest/max(1,n_tot):.1f}%)")
print(f" last_pytest_still_failing_at_submit: {last_pytest_failed}/{n_tot} ({100*last_pytest_failed/max(1,n_tot):.1f}%)")
print(f" submitted_with_plenty_of_budget (tc<=18, dur<=300s): {sub_early}/{n_tot} ({100*sub_early/max(1,n_tot):.1f}%)")
print(f" no_test_after_last_edit: {no_test_after_last_edit}/{n_tot}")
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()))tool
"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
output
succeeded in 86ms: (29 lines, middle cut at capture)
succeeded in 86ms:
---
id: 0016
date: 2026-11-12
author: gemini
track: edit
title: Subtractive rank-2 deep-rumination attractor damping across all 280 mid-to-late modules (0.36%)
status: queued
set: wsp31_screen_v1
batch: -
verdict: -
result: -
---
## Hypothesis
[line removed by the dashboard scrubber]
Why this differs from `PRIOR_E4B.md` and queued entries `0007`--`0013`:
[line removed by the dashboard scrubber]
[... 217 lines cut ...]
+ if not r['resolved'] and (reads or errors):
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+ readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)
+out=A/'code/turn4';out.mkdir(exist_ok=True)
+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))
+print('counts',tot.most_common(30))
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[line removed by the dashboard scrubber]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/trace_audit.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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 (5 lines, middle cut at capture)
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
succeeded in 7739ms:
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READ_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\",
[... 27872 characters cut ...]tool
"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
output
succeeded in 221ms: (29 lines, middle cut at capture)
succeeded in 221ms:
total 24M
drwxrwxr-x 2 keith keith 4.0K Nov 13 07:31 __pycache__
drwxrwxr-x 2 keith keith 16K Nov 12 21:59 acts
drwxrwxr-x 2 keith keith 16K Nov 12 23:10 acts_close
-rw-r--r-- 1 keith keith 3.0K Nov 12 22:01 branch.py
-rw-r--r-- 1 keith keith 8.2K Nov 12 22:01 cap_close.py
-rw-r--r-- 1 keith keith 4.6K Nov 12 21:14 cap_dp.py
-rw-r--r-- 1 keith keith 6.1K Nov 12 23:44 close_outcome.py
-rw-r--r-- 1 keith keith 23K Nov 12 22:14 dirs.py
-rw-r--r-- 1 keith keith 11K Nov 12 22:04 dose.py
-rw-r--r-- 1 keith keith 13K Nov 13 00:04 dose2.py
-rw-r--r-- 1 keith keith 6.6K Nov 13 01:04 dose_eval.py
-rw-r--r-- 1 keith keith 2.0K Nov 12 21:16 dpts.py
-rw-rw-r-- 1 keith keith 1.2K Nov 13 07:31 dryrun_score_pred.py
-rw-r--r-- 1 keith keith 6.6K Nov 12 22:39 edit_align.py
-rw-r--r-- 1 keith keith 2.6K Nov 12 22:20 end_lens.py
-rw-r--r-- 1 keith keith 6.3K Nov 12 21:04 epi.py
-rw-rw-r-- 1 keith keith 86K Nov 12 21:04 episodes.json
-rw-rw-r-- 1 keith keith 236K Nov 13 00:26 episodes_v2.json
[... 115 lines cut ...]
+ readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)
+out=A/'code/turn4';out.mkdir(exist_ok=True)
+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))
+print('counts',tot.most_common(30))
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**Estimating task timing and planning**tool
"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
output
succeeded in 231ms: (29 lines, middle cut at capture)
succeeded in 231ms:
"""cap_dp.py: capture the residual stream at agent decision points for all 60 layers (GPU0, run under the gpu0
lock; tools lane forward pass g31.G31(mirror=True)). PROTOCOL amendment 3 (items 2, 3) and amendment 3b.
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mid_mean {class: [60, d] fp16}, pre0_mean {class: [d] fp16}, counts {class: n},
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means only (disk limit); directions and the writer split are linear in them.
Resumable (existing files are skipped); stops when --budget_s is used up.
Usage: python cap_dp.py --probe probe_all.jsonl --episodes episodes.json --budget_s 1400"""
import argparse
import collections
import hashlib
import json
import os
import sys
import time
import torch
[... 504 lines cut ...]
+ if not r['resolved'] and (reads or errors):
[line removed by the dashboard scrubber]
+ readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)
+out=A/'code/turn4';out.mkdir(exist_ok=True)
+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))
+print('counts',tot.most_common(30))
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/paired_audit.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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 (29 lines, middle cut at capture)
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
succeeded in 1303ms:
available 27 77 mixed 4
mixed [('[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)])]
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sample [task] {'close': 3, 'cont': 8, 'step': 4, 'think': 4, 'tool:[port]': 2, 'tool:[port]': 2, 'turn': 1} torch.Size([24, 60, 5376])
sample [task] {'close': 5, 'cont': 8, 'step': 5, 'think': 6, 'tool:[port]': 4, 'tool:[port]': 2, 'turn': 1} torch.Size([31, 60, 5376])
sample [task] {'close': 4, 'cont': 8, 'step': 6, 'think': 7, 'tool:[port]': 4, 'tool:[port]': 3, 'turn': 1} torch.Size([33, 60, 5376])
diff --git a/turn4/cpu_bench.py b/turn4/cpu_bench.py
new file mode 100644
index 0000000000000000000000000000000000000000..1bb8b5dd7ea9b7a84bb44fabd606668197ee2fe6
--- /dev/null
+++ b/turn4/cpu_bench.py
@@ -0,0 +1,15 @@
+import sys,time,json,os
+from pathlib import Path
+os.environ['CUDA_VISIBLE_DEVICES']=''
+sys.path.insert(0,'/home/keith/gemma-v2/wsp31/tools')
+import torch,g31
[... 264 lines cut ...]
+ if not r['resolved'] and (reads or errors):
[line removed by the dashboard scrubber]
+ readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)
+out=A/'code/turn4';out.mkdir(exist_ok=True)
+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))
+print('counts',tot.most_common(30))
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/prepare_fidelity.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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\w (29 lines, middle cut at capture)
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
succeeded in 5565ms:
eligible_tasks 16 calls 21
shortest [('[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}])]
selected [('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)]
diff --git a/turn4/cpu_bench.py b/turn4/cpu_bench.py
new file mode 100644
index 0000000000000000000000000000000000000000..1bb8b5dd7ea9b7a84bb44fabd606668197ee2fe6
--- /dev/null
+++ b/turn4/cpu_bench.py
@@ -0,0 +1,15 @@
+import sys,time,json,os
+from pathlib import Path
+os.environ['CUDA_VISIBLE_DEVICES']=''
+sys.path.insert(0,'/home/keith/gemma-v2/wsp31/tools')
+import torch,g31
+torch.set_num_threads(16)
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')
+r=json.loads((A/'code/turn4/short_calls.jsonl').read_text().splitlines()[0])
[... 140 lines cut ...]
+ readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)
+out=A/'code/turn4';out.mkdir(exist_ok=True)
+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))
+print('counts',tot.most_common(30))
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
**Estimating resource usage**tool
"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
output
succeeded in 228ms: (29 lines, middle cut at capture)
succeeded in 228ms:
"""edits.py: write closed-form weight edits of Gemma 4 31B in Python and pack them as a LoRA adapter (CPU only).
from edits import EditSet
e = EditSet()
e.row_add(30, "gate_proj", 123, delta) # dW[123, :] += delta (what neuron 123 of layer 30 reads)
e.col_add(30, "down_proj", 123, delta) # dW[:, 123] += delta (what it writes)
e.neuron(30, 123, up=vec, down=vec2, mode="set") # replace the neuron's up row and down column outright
e.neuron_scale(30, 123, down=0.0) # ablate the neuron (scale its write by 0)
e.add(41, "o_proj", U, V) # any low-rank term: dW += U @ V, U [out, k], V [k, in]
e.save("adapters/my_edit") # -> adapter_model.safetensors, adapter_config.json, edit.json
A module's adapter rank is (#edited rows) + (#edited columns) + (sum of k of the low-rank terms); the adapter rank
is the largest over modules and must not exceed the server's --max-lora-rank (32 by default). Row and column edits
are exact up to bf16 storage of the delta (8 significant bits per element): the selector factor is a one-hot.
Modules: 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
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[... 601 lines cut ...]
+ if not r['resolved'] and (reads or errors):
[line removed by the dashboard scrubber]
+ readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)
+out=A/'code/turn4';out.mkdir(exist_ok=True)
+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))
+print('counts',tot.most_common(30))
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]tool
"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/
output
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 (29 lines, middle cut at capture)
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
succeeded in 479ms:
1588965
diff --git a/turn4/cpu_bench.py b/turn4/cpu_bench.py
new file mode 100644
index 0000000000000000000000000000000000000000..1bb8b5dd7ea9b7a84bb44fabd606668197ee2fe6
--- /dev/null
+++ b/turn4/cpu_bench.py
@@ -0,0 +1,15 @@
+import sys,time,json,os
+from pathlib import Path
+os.environ['CUDA_VISIBLE_DEVICES']=''
+sys.path.insert(0,'/home/keith/gemma-v2/wsp31/tools')
+import torch,g31
+torch.set_num_threads(16)
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')
+r=json.loads((A/'code/turn4/short_calls.jsonl').read_text().splitlines()[0])
+t=time.time();m=g31.G31(device='cpu',cache_dense=True)
+print('loaded',time.time()-t,flush=True)
[... 236 lines cut ...]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
**Estimating CPU capture and testing strategy**
**Planning offline checks and capture selection**
**Analyzing code and thought interactions**
**Detailing model residual adjustments**
**Reviewing model performance data**assistant
[line removed by the dashboard scrubber] (65 lines, middle cut at capture)
[line removed by the dashboard scrubber]
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn4\build_fidelity.py
C:\Users\Owner\wsp31_loop\work\gpt\turn4\progress_notes.md
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..00e67eeb15c57281a330b3b17a2c9aa30063f0d1
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,58 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path):
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet(champion='current');c=EditSet(champion='current')
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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'}
+ for l in range(60):
+ for mod in mods:
+ 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()
+ gen=torch.Generator().manual_seed(314000+100*l+si)
+ z=torch.randn((4,5376),generator=gen,dtype=torch.float64)
+ z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T
+ W=e.W(l,mod)
+ if family=='writers':
+ e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)
+ else:
+ e.add(l,mod,([email]().T)*w.float(),v.float());c.add(l,mod,([email]().T)*w.float(),z.float())
+ if l%10==9:print('BUILD',family,l+1,flush=True)
+ e.scale_to(per_matrix=1.,net_rel=dose);c.match_sizes(e)
+ path=Path(path);assert not (path/'READY').exists()
+ for arm,obj in [('edit',e),('ctrl',c)]:
+ obj.save(str(path/arm),note={'family':family,'rank':4,'net_target':dose,'seed':314000,
+ 'directions_sha256':hashlib.sha256((C/'fidelity_directions.pt').read_bytes()).hexdigest(),
+ 'formula':'positive spectral
[... 16729 characters cut ...]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/build_fidelity.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
scp turn4/progress_notes.md wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md (29 lines, middle cut at capture)
scp turn4/progress_notes.md wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md
ssh -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
succeeded in 736ms:
427M /home/keith/gemma-v2/wsp31/authors/gpt/scratch
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..00e67eeb15c57281a330b3b17a2c9aa30063f0d1
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,58 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
[... 315 lines cut ...]
+out=A/'code/turn4';out.mkdir(exist_ok=True)
+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))
+print('counts',tot.most_common(30))
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
**Analyzing error patterns and verification methods**
**Examining covariance and performance metrics**tool
"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
output
succeeded in 251ms: (29 lines, middle cut at capture)
succeeded in 251ms:
PID ELAPSED %CPU RSS COMMAND
1588965 01:53 0.0 8192 timeout 5100 /home/keith/gemma-v2/tii-venv/bin/python fidelity_worker.py
1588967 01:53 1356 70356096 /home/keith/gemma-v2/tii-venv/bin/python fidelity_worker.py
total used free shared buff/cache available
Mem: 183 80 34 1 71 103
Swap: 7 0 7
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..00e67eeb15c57281a330b3b17a2c9aa30063f0d1
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,58 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
[... 733 lines cut ...]
+ if not r['resolved'] and (reads or errors):
[line removed by the dashboard scrubber]
+ readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)
+out=A/'code/turn4';out.mkdir(exist_ok=True)
+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))
+print('counts',tot.most_common(30))
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/prepare_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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 (29 lines, middle cut at capture)
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
succeeded in 512ms:
1608211
CAPTURE 0 fit [task] seconds 122.6
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..00e67eeb15c57281a330b3b17a2c9aa30063f0d1
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,58 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
[... 841 lines cut ...]
+ if not r['resolved'] and (reads or errors):
[line removed by the dashboard scrubber]
+ readargs.extend({'instance':iid,'arm':arm,'call':ci,'arguments':a} for ci,a in reads)
+out=A/'code/turn4';out.mkdir(exist_ok=True)
+(out/'trace_audit.json').write_text(json.dumps({'counts':dict(tot),'readargs':readargs,'failures':failures},indent=2))
+print('counts',tot.most_common(30))
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/check_baselines.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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/g (29 lines, middle cut at capture)
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
succeeded in 1798ms:
{"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}}
possible_address_files []
CAPTURE 0 fit [task] seconds 122.6
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..00e67eeb15c57281a330b3b17a2c9aa30063f0d1
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,58 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
[... 431 lines cut ...]
[line removed by the dashboard scrubber]
**Reviewing memory usage and output planning**
**Tuning CPU backend and evaluating code fit**
I’m calibrating the CPU backend without GPU using baseline logs and checking code generation validity from traces. I want to quantify the baseline code’s 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.
**Analyzing task queue and tool safety**
**Reviewing frozen tools and dependencies**tool
"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
output
succeeded in 238ms: (29 lines, middle cut at capture)
succeeded in 238ms:
#!/usr/bin/env python
"""champ.py info | path | maxrank [--champion current|DIR] | stack EDIT_DIR [--champion current|DIR] [--out DIR]
The champion is the adapter that holds every promoted edit (wsp31/queue/champion.json, written by the runner; this
tool only reads it). While one exists the runner serves the reference arm as the champion and every edit and control
as champion + entry, stacked exactly by stack_exact.py. This file gives the pre-test tools the same view:
`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
champion + a rank-32 entry, rounded up to a value vLLM accepts (32, 64, 128; what gpu0_session.sh --champion sets;
`roundrank N` rounds any rank the same way); `stack` writes champion + EDIT_DIR with the
runner's own stack_exact.py (cached by content under $WSP31_WORK/data/champ) and prints the directory.
As a library: resolve(arg) -> champion directory or None ("current" reads the runner's file; None, "none" and
generation 0 mean the unedited model), stacked(champion, edit) -> directory to serve, serve_ref(port, champion) ->
model name of the reference arm ("base", or the champion loaded under a content-hash name). CPU only except
serve_ref. A champion named in the environment variable WSP31_CHAMPION is the default of every --champion option."""
import hashlib
import json
import os
import shutil
import subprocess
import sys
[... 1034 lines cut ...]
+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']
+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+' '+str(p.relative_to(T))+'\n' for p in files))
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)tool
"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/
output
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-v (29 lines, middle cut at capture)
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
exited 1 in 781ms:
snapshot kept ['adapters.py', 'champ.py', 'edits.py', 'g31.py', 'netops.py', 'stack_exact.py'] removed unused files 63
possible_address_files []
cat: /home/keith/gemma-v2/wsp31/queue/champion.json: No such file or directory
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..fd416d7a482891a8ea898b15add09efe198ca08b
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,60 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
[... 927 lines cut ...]
+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']
+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+' '+str(p.relative_to(T))+'\n' for p in files))
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)tool
"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
output
succeeded in 288ms: (29 lines, middle cut at capture)
succeeded in 288ms:
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
[... 970 lines cut ...]
+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']
+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+' '+str(p.relative_to(T))+'\n' for p in files))
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)tool
"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/
output
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/ (29 lines, middle cut at capture)
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
succeeded in 6791ms:
{
"counts": {
"edit_calls": 700,
"status:ok": 541,
"status:missing": 110,
"status:error": 49,
"error:match": 34,
"error:other": 15
},
"examples": [
{
"instance": "Mimino666__langdetect.a1598f1a.lm_rewrite__dk9wx21q",
"arm": "base",
"call": 19,
"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.'}"
},
{
"instance": "PyCQA__flake8.cf1542ce.lm_rewrite__yh5du3ns",
[... 589 lines cut ...]
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)
**Analyzing escape sequence handling**
**Evaluating MLP activation and unescaping**
**Analyzing escape and decoding errors**
**Managing queue finalization process**assistant
The stricter trace audit found 34 string-match errors among 700 edit calls; 110 calls had no captured response. The larger claim—that a code/prose contrast improves patch correctness—remains unproven. I’ll use replay to check code likelihood and formatting, and leave task gains to screening.
tool
"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
output
succeeded in 206ms: (29 lines, middle cut at capture)
succeeded in 206ms:
import statistics as st
import sys
import torch
from safetensors import safe_open
from safetensors.torch import load_file
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
def load(d):
c = json.load(open(os.path.join(d, "adapter_config.json")))
s = c["lora_alpha"] / (c["r"] ** 0.5 if c.get("use_rslora") else c["r"])
mods = {}
for k, t in load_file(os.path.join(d, "adapter_model.safetensors")).items():
[line removed by the dashboard scrubber]
if m:
mods.setdefault(f"{m.group(1)}.{m.group(2)}", {})[m.group(3)] = t.double()
[... 1211 lines cut ...]
+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']
+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+' '+str(p.relative_to(T))+'\n' for p in files))
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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 (29 lines, middle cut at capture)
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
succeeded in 501ms:
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
[... 577 lines cut ...]
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)
**Analyzing model fitting and rebuild details**
**Reviewing ledger and memory usage**tool
"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
output
succeeded in 1678ms: (29 lines, middle cut at capture)
succeeded in 1678ms:
{"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}}
possible_address_files []
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
[... 1200 lines cut ...]
+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']
+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+' '+str(p.relative_to(T))+'\n' for p in files))
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/deadline_guard.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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/gem (29 lines, middle cut at capture)
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
succeeded in 517ms:
1645764
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
CAPTURE 4 fit [task] seconds 137.2
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
[... 601 lines cut ...]
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)
**Analyzing lightweight dose scout workflow**
**Checking memory usage**assistant
[line removed by the dashboard scrubber]
tool
"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
output
succeeded in 219ms: (29 lines, middle cut at capture)
succeeded in 219ms:
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
CAPTURE 4 fit [task] seconds 137.2
405M /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
[... 1216 lines cut ...]
+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']
+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+' '+str(p.relative_to(T))+'\n' for p in files))
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)tool
"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
output
succeeded in 215ms: (29 lines, middle cut at capture)
succeeded in 215ms:
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
CAPTURE 4 fit [task] seconds 137.2
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
[... 1223 lines cut ...]
+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']
+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+' '+str(p.relative_to(T))+'\n' for p in files))
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)tool
"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/
output
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/turn (29 lines, middle cut at capture)
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
succeeded in 523ms:
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
CAPTURE 4 fit [task] seconds 137.2
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
[... 601 lines cut ...]
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)
**Updating prepare script timing**assistant
The code/prose labels do not distinguish correct code from wrong code. One fit call failed, and several successful edits needed the harness’s unescape fallback. (61 lines, middle cut at capture)
The code/prose labels do not distinguish correct code from wrong code. One fit call failed, and several successful edits needed the harness’s unescape fallback. I’ve recorded that limit so the replay results cannot be mistaken for evidence of better patch correctness.
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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'}
+ for l in range(60):
+ for mod in mods:
+ 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()
+ gen=torch.Generator().manual_seed(314000+100*l+si)
+ z=torch.randn((4,5376),generator=gen,dtype=torch.float64)
+ z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T
+ W=e.W(l,mod)
+ if family=='writers':
+ e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)
+ else:
+ e.add(l,mod,([email]().T)*w.float(),v.float());c.add(l,mod,([email]().T)*w.float(),z.float())
+ if l%10==9:print('BUILD',family,l+1
[... 36807 characters cut ...]tool
"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
output
succeeded in 238ms: (29 lines, middle cut at capture)
succeeded in 238ms:
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
CAPTURE 4 fit [task] seconds 137.2
CAPTURE 5 fit [task] seconds 137.7
OK edit: 120 modules changed (of 120 present), r=4, max |dW|_F/|W|_F 0.008458 at 36.down_proj
OK ctrl: 120 modules changed (of 120 present), r=4, max |dW|_F/|W|_F 0.008451 at 9.o_proj
edit {"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}
by type {'down_proj': 0.00845, 'o_proj': 0.00845}
by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]
ctrl {"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}
by type {'down_proj': 0.00845, 'o_proj': 0.00845}
by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]
QUEUED_PRETEST code-writer-r4-033
[... 613 lines cut ...]
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)
**Reviewing brief notes on models and data**tool
"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
output
succeeded in 224ms: (29 lines, middle cut at capture)
succeeded in 224ms:
FIT {"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}}
BUILD writers 10
BUILD writers 20
BUILD writers 30
[{"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
-rw-rw-r-- 1 keith keith 216 Nov 13 07:50 build.log
-rw-rw-r-- 1 keith keith 258 Nov 13 07:50 build.sh
drwxrwxr-x 2 keith keith 4096 Nov 13 07:50 ctrl
-rw-rw-r-- 1 keith keith 90 Nov 13 07:50 ctrl_check.txt
drwxrwxr-x 2 keith keith 4096 Nov 13 07:50 edit
-rw-rw-r-- 1 keith keith 94 Nov 13 07:50 edit_check.txt
-rw-rw-r-- 1 keith keith 26686 Nov 13 07:50 geometry.json
-rw-rw-r-- 1 keith keith 5012 Nov 13 07:50 record.md
-rw-rw-r-- 1 keith keith 44260 Nov 13 07:50 size.json
-rw-rw-r-- 1 keith keith 802 Nov 13 07:50 size.txt
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
[... 613 lines cut ...]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)
**Analyzing model projection fits**
**Optimizing pretest timing**
**Analyzing code verification and resource use**assistant
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 (61 lines, middle cut at capture)
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 0.63–0.70 for the writers. Check-task replay will show whether that consistency survives.
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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'}
+ for l in range(60):
+ for mod in mods:
+ 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()
+ gen=torch.Generator().manual_seed(314000+100*l+si)
+ z=torch.randn((4,5376),generator=gen,dtype=torch.float64)
+ z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T
+ W=e.W(l,mod)
+ if family=='writers':
+ e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)
+ else:
+ e.add(l,mod,([email]().T)*w.float(),v.float());c.add(l,mod,([email]().T)*w.float(),z.float())
+
[... 36842 characters cut ...]tool
"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
output
succeeded in 232ms: (29 lines, middle cut at capture)
succeeded in 232ms:
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
CAPTURE 4 fit [task] seconds 137.2
CAPTURE 5 fit [task] seconds 137.7
CAPTURE 6 check [task] seconds 131.8
554M /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
[... 1253 lines cut ...]
+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']
+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+' '+str(p.relative_to(T))+'\n' for p in files))
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/contrast_check.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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\wsp (29 lines, middle cut at capture)
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
succeeded in 2075ms:
{"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}]}
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
[... 1926 lines cut ...]
+files=sorted(T.glob('*.py'))+[T/'data/fro_norms.json']
+(T/'SHA256SUMS').write_text(''.join(hashlib.sha256(p.read_bytes()).hexdigest()+' '+str(p.relative_to(T))+'\n' for p in files))
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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 (29 lines, middle cut at capture)
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
succeeded in 531ms:
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
CAPTURE 4 fit [task] seconds 137.2
CAPTURE 5 fit [task] seconds 137.7
CAPTURE 6 check [task] seconds 131.8
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
[... 631 lines cut ...]
+print('snapshot kept',sorted(keep),'removed unused files',len(removed))
+bad=[]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)
**Updating user comment timestamp**assistant
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 measur (61 lines, middle cut at capture)
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.
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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'}
+ for l in range(60):
+ for mod in mods:
+ 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()
+ gen=torch.Generator().manual_seed(314000+100*l+si)
+ z=torch.randn((4,5376),generator=gen,dtype=torch.float64)
+ z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T
+ W=e.W(l,mod)
+ if family=='writers':
+ e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)
+ else:
+ e.add(l,mod,([email]().T)*w.float(),v.float());c.add(l,mod,([email]().T)*w.float(),z.float())
+ if l%10==9:print('BUILD',family,l+1,fl
[... 38366 characters cut ...]tool
"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
output
succeeded in 222ms: (29 lines, middle cut at capture)
succeeded in 222ms:
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
CAPTURE 4 fit [task] seconds 137.2
CAPTURE 5 fit [task] seconds 137.7
CAPTURE 6 check [task] seconds 131.8
CAPTURE 7 check [task] seconds 133.1
ELAPSED %CPU RSS
18:06 1332 77923056
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
[... 635 lines cut ...]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)
**Analyzing code and tool usage constraints**
**Checking for local AGENTS files**
**Analyzing CPU and matrix resource usage**tool
"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
output
succeeded in 3058ms: (29 lines, middle cut at capture)
succeeded in 3058ms:
{"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}]}
{"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}}
possible_address_files []
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
[... 628 lines cut ...]
+for p in C.rglob('*'):
+ if p.is_file() and p.suffix in ['.py','.json','.jsonl','.md','.sh','.txt']:
+ 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)))
+print('possible_address_files',bad)
**Summarizing progress and planning notes update**
I’m tracking detailed timing on pretests, builds, and dose decisions, trying to balance ratios and model fits. There’s complexity around handling multiple writers and readers with varying weights, plus ensuring stable notes and updates without preserving outdated data. I’m planning a writer function to capture live results and finalize progress notes cleanly after the first milestone, minimizing intermediate output for the user.assistant
Both replay-check tasks show the fitted contrast at every layer, with mean direction cosines around 0.53–0.62. Those measurements support the code/prose distinc (63 lines, middle cut at capture)
Both replay-check tasks show the fitted contrast at every layer, with mean direction cosines around 0.53–0.62. 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.
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn4\update_notes.py
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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'}
+ for l in range(60):
+ for mod in mods:
+ 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()
+ gen=torch.Generator().manual_seed(314000+100*l+si)
+ z=torch.randn((4,5376),generator=gen,dtype=torch.float64)
+ z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T
+ W=e.W(l,mod)
+ if family=='writers':
+ e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)
+ else:
+ e.add(l,mod,([email]().T)*w.float(),
[... 41704 characters cut ...]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/update_notes.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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/gem (29 lines, middle cut at capture)
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
succeeded in 530ms:
notes_words 365 ready 0 pending 1
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
CAPTURE 4 fit [task] seconds 137.2
CAPTURE 5 fit [task] seconds 137.7
CAPTURE 6 check [task] seconds 131.8
CAPTURE 7 check [task] seconds 133.1
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
[... 665 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Finalizing data capture and verification**tool
"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
output
succeeded in 1749ms: (29 lines, middle cut at capture)
succeeded in 1749ms:
CAPTURE 0 fit [task] seconds 122.6
CAPTURE 1 fit [task] seconds 121.2
CAPTURE 2 fit [task] seconds 121.7
CAPTURE 3 fit [task] seconds 128.1
CAPTURE 4 fit [task] seconds 137.2
CAPTURE 5 fit [task] seconds 137.7
CAPTURE 6 check [task] seconds 131.8
CAPTURE 7 check [task] seconds 133.1
CAPTURE 8 check [task] seconds 157.4
{"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}}
possible_address_files []
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
[... 1347 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Monitoring for new comments**assistant
[line removed by the dashboard scrubber]
tool
"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
output
succeeded in 233ms: (29 lines, middle cut at capture)
succeeded in 233ms:
CAPTURE 4 fit [task] seconds 137.2
CAPTURE 5 fit [task] seconds 137.7
CAPTURE 6 check [task] seconds 131.8
CAPTURE 7 check [task] seconds 133.1
CAPTURE 8 check [task] seconds 157.4
ELAPSED %CPU RSS
21:25 1329 79071168
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
[... 1346 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 221ms: (29 lines, middle cut at capture)
succeeded in 221ms:
CAPTURE 5 fit [task] seconds 137.7
CAPTURE 6 check [task] seconds 131.8
CAPTURE 7 check [task] seconds 133.1
CAPTURE 8 check [task] seconds 157.4
PROBE code-writer-r4-033-edit 6 seconds 131.4
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
[... 660 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Tracking probe progress**assistant
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 (63 lines, middle cut at capture)
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.
**Analyzing rotation and gating techniques**
**Evaluating reader variant configurations**
**Analyzing MLP gating and record handling**
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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'}
+ for l in range(60):
+ for mod in mods:
+ 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()
+ gen=torch.Generator().manual_seed(314000+100*l+si)
+ z=torch.randn((4,5376),generator=gen,dtype=torch.float64)
+ z=z-([email])@v;z=z-(z@cm)[:,None]*cm[None];z=torch.linalg.qr(z.T).Q.T
+ W=e.W(l,mod)
+ if family=='writers':
+ e.add(l,mod,(v.T*w).float(),v.float()@W);c.add(l,mod,(z.T*w).float(),z.float()@W)
+ else:
+ e.add(l,mod,([email]().T)*w.float(),v.float());c.add(l,mod,([email]().T)*w.float(),z.
[... 41655 characters cut ...]tool
"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
output
succeeded in 235ms: (29 lines, middle cut at capture)
succeeded in 235ms:
CAPTURE 8 check [task] seconds 157.4
PROBE code-writer-r4-033-edit 6 seconds 131.4
PROBE code-writer-r4-033-edit 7 seconds 266.4
RESULT 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}}
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae5237ccc081df4cab2ed2708f81c3876bdb5fc
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,64 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
[... 663 lines cut ...]
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing close-thought alignment**
**Reviewing capture storage**
**Optimizing worker thread usage**
**Balancing code and prose styles**
**Managing candidate queue and build states**assistant
[line removed by the dashboard scrubber] **Implementing polarity handling** I'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. **Analyzing polarity reversal effects**
tool
"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
output
succeeded in 219ms: (29 lines, middle cut at capture)
succeeded in 219ms:
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn4\build_fidelity.py
C:\Users\Owner\wsp31_loop\work\gpt\turn4\prepare_entry.py
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
[... 669 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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/
output
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 (29 lines, middle cut at capture)
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
succeeded in 548ms:
PROBE code-writer-r4-033-edit 7 seconds 266.4
RESULT 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}}
PROBE code-writer-r4-033-ctrl 6 seconds 131.4
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
[... 1385 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/probe_report.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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 c (29 lines, middle cut at capture)
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
succeeded in 526ms:
code-writer-r4-033-edit
[task] code_n 25 base_lp -0.009472627454978805 change -0.01872084383588259
[task] code_n 32 base_lp -0.00015906619202854522 change -4.681677451490174e-06
summary {"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}}
code-writer-r4-033-ctrl PENDING
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
[... 1408 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/prepare_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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 (29 lines, middle cut at capture)
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
succeeded in 505ms:
PROBE code-writer-r4-033-ctrl 6 seconds 131.4
PROBE code-writer-r4-033-ctrl 7 seconds 268.0
RESULT 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}}
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
[... 1427 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/archive_failed.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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/gemm (29 lines, middle cut at capture)
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
succeeded in 481ms:
archived /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/declined/code-writer-r4-033
1717953
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 713 lines cut ...]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing timeline and control requirements**
**Reviewing code normalization and build process**
**Evaluating model directory and rebuild process**
**Assessing model file integrity**tool
"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
output
succeeded in 228ms: (29 lines, middle cut at capture)
succeeded in 228ms:
by type {'down_proj': 0.00845, 'o_proj': 0.00845}
by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]
QUEUED_PRETEST code-writer-damp-r4-033
RESULT 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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
[... 712 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Validating weight sign behavior**assistant
[line removed by the dashboard scrubber] (70 lines, middle cut at capture)
[line removed by the dashboard scrubber]
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn4\reversal_check.py
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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_
[... 45769 characters cut ...]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/reversal_check.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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/t (29 lines, middle cut at capture)
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
succeeded in 1742ms:
{"edit": {"same_A": true, "B_exact_negative": true, "matrices": 120}, "ctrl": {"same_A": true, "B_exact_negative": true, "matrices": 120}}
notes_words 365 ready 0 pending 1
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 1482 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/update_notes.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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 (29 lines, middle cut at capture)
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
succeeded in 493ms:
notes_words 427 ready 0 pending 1
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
[... 1487 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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/
output
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 (30 lines, middle cut at capture)
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
succeeded in 523ms:
PROBE code-writer-r4-033-ctrl 7 seconds 268.0
RESULT 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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 1491 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(read
[... 26 characters cut ...]tool
"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
output
succeeded in 265ms: (29 lines, middle cut at capture)
succeeded in 265ms:
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
[... 1485 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 224ms: (29 lines, middle cut at capture)
succeeded in 224ms:
PROBE code-writer-r4-033-ctrl 7 seconds 268.0
RESULT 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}}
PROBE code-writer-damp-r4-033-edit 6 seconds 131.8
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 734 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Confirming timing and verification steps**assistant
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 witho (71 lines, middle cut at capture)
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.
**Analyzing CPU threading and model consistency**
**Refining title wording**
**Processing damp code and prose titles**
**Summarizing queue entries and line limits**
**Summarizing final audit and cleanup process**
**Filtering irrelevant data**
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fi
[... 46351 characters cut ...]tool
"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
output
succeeded in 304ms: (29 lines, middle cut at capture)
succeeded in 304ms:
PROBE code-writer-damp-r4-033-edit 6 seconds 131.8
PROBE code-writer-damp-r4-033-edit 7 seconds 270.9
RESULT 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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 737 lines cut ...]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing model performance metrics**
**Optimizing task prioritization and queue management**
**Analyzing task sequencing and validation**
**Reviewing finalizer and code consistency**assistant
[line removed by the dashboard scrubber] (70 lines, middle cut at capture)
[line removed by the dashboard scrubber]
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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'}
+ for l in range(60):
+ for mod in mods:
+ si=['attn_write',
[... 45924 characters cut ...]tool
"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
output
succeeded in 243ms: (29 lines, middle cut at capture)
succeeded in 243ms:
RESULT 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}}
PROBE code-writer-damp-r4-033-ctrl 6 seconds 132.6
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
[... 1538 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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/
output
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 (29 lines, middle cut at capture)
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
succeeded in 538ms:
PROBE code-writer-damp-r4-033-ctrl 7 seconds 271.8
RESULT 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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 774 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Finalizing script and build parameters**tool
"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
output
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py (29 lines, middle cut at capture)
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
[... 769 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Considering command execution behavior**assistant
[line removed by the dashboard scrubber] (70 lines, middle cut at capture)
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diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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'}
+ for l in range(60):
+ for mod in mods:
+ si=['attn_write',
[... 102691 characters cut ...]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/projector_dose.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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 (29 lines, middle cut at capture)
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
succeeded in 1263ms:
code-writer-damp-r4-033 {"min_beta": -0.45829252547341154, "max_beta": -0.07177801158449655, "median_beta": -0.22616530673239355, "inverted_leading_modes": 0}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
[... 798 lines cut ...]
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing subtractive code projection parameters**
**Analyzing model parameters**tool
"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
output
succeeded in 213ms: (29 lines, middle cut at capture)
succeeded in 213ms:
1776945
| 0025 | gpt | code-writer-damp-r4-033 | queued_s1 | -6 to +12 | | | | - |
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
[... 797 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Finalizing proofreading and validations**assistant
`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’m checkin (69 lines, middle cut at capture)
`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’m checking a three-times-larger writer dose next, starting with one call so a clear failure can stop further work on it.
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn4\finalize_entry.py
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj']
[... 50822 characters cut ...]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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/scr (29 lines, middle cut at capture)
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
succeeded in 503ms:
by type {'down_proj': 0.02535, 'o_proj': 0.02535}
by depth (10-layer bands) [0.02535, 0.02535, 0.02535, 0.02535, 0.02535, 0.02535]
QUEUED_PRETEST code-writer-damp-r4-099
RESULT 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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
[... 805 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Inserting finalizer guard and updating notes**tool
"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
output
succeeded in 1496ms: (29 lines, middle cut at capture)
succeeded in 1496ms:
code-writer-damp-r4-099 {"min_beta": -1.3747620660290387, "max_beta": -0.21531305059715075, "median_beta": -0.6788396185256591, "inverted_leading_modes": 21}
notes_words 430 ready 1 pending 1
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
[... 1670 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/final_audit.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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 (29 lines, middle cut at capture)
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
succeeded in 475ms:
RESULT 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
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
[... 843 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Reviewing final audit and resource use**assistant
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, (67 lines, middle cut at capture)
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.
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ spaces={'o_proj':'attn_write',
[... 54437 characters cut ...]tool
"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
output
succeeded in 247ms: (29 lines, middle cut at capture)
succeeded in 247ms:
code-writer-damp-r4-099-edit-p6
[task] code_n 25 base_lp -0.009472627454978805 change -0.003458926752724665
summary {"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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 1733 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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/
output
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; (29 lines, middle cut at capture)
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
succeeded in 474ms:
declined code-writer-damp-r4-099
1794894
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 865 lines cut ...]
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing training dose schedule**
**Analyzing memory and script environment**
**Managing Python bytecode settings**assistant
[line removed by the dashboard scrubber] (72 lines, middle cut at capture)
[line removed by the dashboard scrubber]
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn4\finalize_entry.py
C:\Users\Owner\wsp31_loop\work\gpt\turn4\prepare_entry.py
C:\Users\Owner\wsp31_loop\work\gpt\turn4\update_notes.py
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ spaces={'o_proj':'attn_write','down_proj
[... 55535 characters cut ...]tool
"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/
output
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/gemm (29 lines, middle cut at capture)
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
succeeded in 571ms:
notes_words 457 ready 1 pending 1
QUEUED_PRETEST code-writer-damp-r4-011
RESULT code-writer-damp-r4-099-edit-p6 {"all": {"n": 60, "mean_dlp": -0.019388450465031327, "mean_kl": 0.28678131819044145, "max_kl": 5.1286
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
[... 869 lines cut ...]
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Reviewing final audit and build status**
**Analyzing thought closure dynamics**
**Analyzing Python-focused task metadata**
**Analyzing adapter combination process**
**Preparing multi-agent coordination code**tool
"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
output
succeeded in 238ms: (29 lines, middle cut at capture)
succeeded in 238ms:
RESULT 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
PROBE code-writer-damp-r4-011-edit 6 seconds 133.0
by depth (10-layer bands) [0.00282, 0.00282, 0.00282, 0.00282, 0.00282, 0.00282]
QUEUED_PRETEST code-writer-damp-r4-011
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
[... 868 lines cut ...]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]assistant
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 i (69 lines, middle cut at capture)
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’ll test the reader variant, which changes how layers read the contrast rather than how they write it.
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn4\changed_choices.py
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_p
[... 56876 characters cut ...]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command "scp turn4/changed_choices.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/
output
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 (29 lines, middle cut at capture)
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
succeeded in 5129ms:
{
"code-writer-damp-r4-033-edit": [
{
"instance": "[task]",
"kind": "thought",
"pos": 4852,
"KL": 0.5579270124435425,
"context": "8decode_check` calls `b58decode(v, alphabet=alphabet)`.\n`b58decode` calls `scrub_input(v)`.",
"base": " So",
"edit": "\n",
"logged": " So"
},
{
"instance": "[task]",
"kind": "cont",
"pos": 5310,
"KL": 0.3463399410247803,
"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.",
[... 933 lines cut ...]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing model output variations**
**Evaluating task performance and runtime**
**Analyzing final audit and source consistency**
**Clarifying model capabilities and constraints**tool
"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
output
succeeded in 491ms: (29 lines, middle cut at capture)
succeeded in 491ms:
code-writer-damp-r4-011-edit
[task] code_n 25 base_lp -0.009472627454978805 change 0.0014547958514705783
[task] code_n 32 base_lp -0.00015906619202854522 change -0.00012476579164100166
summary {"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}}
code-writer-damp-r4-011-ctrl PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
[... 888 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
context compactedtool
"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
output
succeeded in 1226ms: (29 lines, middle cut at capture)
succeeded in 1226ms:
code-writer-damp-r4-011-edit
[task] code_n 25 base_lp -0.009472627454978805 change 0.0014547958514705783
[task] code_n 32 base_lp -0.00015906619202854522 change -0.00012476579164100166
summary {"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}}
code-writer-damp-r4-011-ctrl PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
[... 888 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Reviewing time and scope**assistant
[line removed by the dashboard scrubber]
tool
"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
output
succeeded in 238ms: (29 lines, middle cut at capture)
succeeded in 238ms:
# wsp31 author brief (read fully at the start of every turn)
You are one of three authors (claude, gpt, gemini) taking turns. Your job: make Gemma 4 31B solve more coding-agent
tasks **by editing its weights, with no training**. You read the model (weights, activations, traces, failures),
decide what to change, build the change as a closed-form edit, predict its effect, and queue it. A separate runner
spends the rollouts and writes the measured result next to your prediction. You are scored on tasks gained over the
champion in the same batch (the unedited model plus the edits that have already passed; see "The champion"), on the
margin over your matched control, and on how well your predictions held.
**Be bold.** Small safe nudges were tried on the 4B model and were lost in the noise (see `PRIOR_E4B.md`). A queue
slot is cheap; a third variation of a null result is a wasted slot. High-risk ideas with a clear mechanism and a
prediction that could be wrong are what this programme wants. Say what would prove you wrong.
## Where you work
- Everything happens on host `wrx90`, reached with `ssh -o BatchMode=yes wrx90 '<command>'`. Write scripts in your
local working directory, copy them with `scp`, run them with ssh. Keep ssh output small (`tail`, `cut`, `head`).
- Root: `/home/keith/gemma-v2` (below: `$R`). Python: `$R/tii-venv/bin/python` (torch, transformers, vLLM 0.19.1,
peft, safetensors; no scipy). `. $R/env.sh` sets `R` and `PY`.
[... 1150 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Stopping idle and reviewing scripts**tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command 'Get-Content turn4/prepare_entry.py' in C:\Users\Owner\wsp31_loop\work\gpt
output
succeeded in 15ms: (29 lines, middle cut at capture)
succeeded in 15ms:
'code-writer-r4-099':('writers',.0099,(-15,16)),
'code-reader-r4-033':('readers',.0033,(-10,15)),
'code-writer-damp-r4-033':('writers',.0033,(-6,12)),
'code-writer-damp-r4-011':('writers',.0011,(-5,10)),
'code-writer-damp-r4-099':('writers',.0099,(-12,15)),
'code-reader-damp-r4-033':('readers',.0033,(-8,14)),
'code-reader-damp-r4-011':('readers',.0011,(-5,10)),
}
def run(cmd,out):
env={**os.environ,'OMP_NUM_THREADS':'8','MKL_NUM_THREADS':'8','OPENBLAS_NUM_THREADS':'8','PYTHONDONTWRITEBYTECODE':'1'}
p=subprocess.run(cmd,capture_output=True,text=True,check=True,env=env)
Path(out).write_text(p.stdout+p.stderr);print(p.stdout[-1400:],flush=True)
def prepare(slug,wait=False,scout=False):
if wait:
while not (S/'FIT_DONE').exists():time.sleep(5)
if not (C/'fidelity_directions.pt').exists():run([PY,str(C/'build_fidelity.py'),'fit'],S/'fit.log')
family,dose,gain=specs[slug];polarity=-1 if '-damp-' in slug else 1;q=A/'queue'/slug;q.mkdir(exist_ok=True)
assert not (q/'READY').exists()
rec=f'''title: Strengthen code-versus-prose {family} in all layers at {dose*100:.2f} percent
[... 971 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Assessing prediction adjustments**tool
"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
output
succeeded in 254ms: (29 lines, middle cut at capture)
succeeded in 254ms:
code-writer-damp-r4-011-ctrl
[task] code_n 25 base_lp -0.009472627454978805 change 0.0021188423589148897
[task] code_n 32 base_lp -0.00015906619202854522 change -1.9062109483991563e-05
summary {"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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
[... 885 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py (29 lines, middle cut at capture)
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
[... 881 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Managing prediction control**assistant
[line removed by the dashboard scrubber] (70 lines, middle cut at capture)
[line removed by the dashboard scrubber]
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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'}
+ for l in range(60):
+ for mod in mods:
+ si=['attn_write',
[... 56579 characters cut ...]tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command 'Get-Content turn4/final_audit.py' in C:\Users\Owner\wsp31_loop\work\gpt
output
succeeded in 27ms: (29 lines, middle cut at capture)
succeeded in 27ms:
import json,hashlib,datetime,re
from pathlib import Path
A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4';Q=Path('/home/keith/gemma-v2/wsp31/queue')
def sha(p):return hashlib.sha256(p.read_bytes()).hexdigest()
entries=[];status=(Q/'STATUS.md').read_text()
for q in sorted((A/'queue').glob('code-*-r4-*')):
if not (q/'READY').exists():continue
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']:
assert (q/f).is_file(),(q,f)
record=(q/'record.md').read_text();assert record.startswith('title: ') and '|' not in record.splitlines()[0]
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:'])
assert not (q/'REJECTED').exists(),q
sources=json.loads((q/'source_hashes.json').read_text());assert all(sha(A/p)==h for p,h in sources.items()),'source drift'
rebuild=json.loads((q/'rebuild_receipt.json').read_text());assert rebuild['byte_exact']
frozen=Q/'frozen'/('gpt__'+q.name);fh={}
for arm in ['edit','ctrl']:
assert 'OK' in (q/(arm+'_check.txt')).read_text()
cfg=json.loads((q/arm/'adapter_config.json').read_text());assert cfg['r']<=32 and cfg['lora_alpha']==2*cfg['r']
for fn,h in rebuild['files'][arm].items():assert sha(q/arm/fn)==h,'adapter drift'
[... 1829 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py (29 lines, middle cut at capture)
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
[... 881 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing SSH session command behaviors**tool
"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
output
succeeded in 236ms: (29 lines, middle cut at capture)
succeeded in 236ms:
| 0011 | gpt | writer-close-amplify-033 | running_s1 | -7 to +14 | | | | - |
| 0012 | gpt | writer-close-amplify-050 | running_s1 | -12 to +16 | | | | - |
| 0013 | gpt | writer-close-shift-011 | queued_s1 | -6 to +12 | | | | - |
| 0025 | gpt | code-writer-damp-r4-033 | queued_s1 | -6 to +12 | | | | - |
| 0026 | gpt | code-writer-damp-r4-011 | queued_s1 | -5 to +10 | | | | - |
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
[... 889 lines cut ...]
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Refining hypothesis and testing strategy**
**Confirming stable record state**assistant
The runner accepted both writer entries as 0025 and 0026. The third candidate applies the contrast to 300 attention and MLP reader matrices. I’ll check its first stored call before running the rest of the edit and control replay.
tool
"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
output
succeeded in 1125ms: (29 lines, middle cut at capture)
succeeded in 1125ms:
PROBE code-writer-damp-r4-011-ctrl 7 seconds 280.9
RESULT 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}}
"""Stop only this turn's own CPU worker before the user's 90-minute limit."""
import time,datetime,os,signal,json
from pathlib import Path
A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
deadline=datetime.datetime(2026,11,13,13,59,45,tzinfo=datetime.timezone.utc).timestamp()
while time.time()<deadline and not (S/'STOP_GUARD').exists():time.sleep(min(20,max(0,deadline-time.time())))
if not (S/'STOP_GUARD').exists():
(S/'STOP_WORKER').touch();parent=int((S/'worker.pid').read_text())
children=Path(f'/proc/{parent}/task/{parent}/children')
stopped=[]
for pid in children.read_text().split() if children.exists() else []:
proc=Path('/proc')/pid
if (proc/'cwd').resolve()!=C.resolve():continue
cmd=(proc/'cmdline').read_bytes().replace(b'\0',b' ')
if b'fidelity_worker.py' in cmd:os.kill(int(pid),signal.SIGTERM);stopped.append(int(pid))
(S/'deadline_stop.json').write_text(json.dumps({'utc':datetime.datetime.now(datetime.timezone.utc).isoformat(),'stopped_own_workers':stopped}))
[... 901 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Preparing log and resource checks**tool
"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
output
succeeded in 215ms: (29 lines, middle cut at capture)
succeeded in 215ms:
bash: line 1: build_fidelity.py: command not found
bash: line 1: fidelity_worker.py: command not found
grep: code-reader: No such file or directory
16K /home/keith/gemma-v2/wsp31/authors/gpt/queue/code-reader-damp-r4-033
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
[... 887 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Adjusting script quoting approach**tool
"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
output
succeeded in 274ms: (29 lines, middle cut at capture)
succeeded in 274ms:
1835698 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 &
1835699 /home/keith/gemma-v2/tii-venv/bin/python prepare_entry.py code-reader-damp-r4-033 --scout
1840270 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
1835701 /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
1840270 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
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
[... 891 lines cut ...]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
succeeded in 50718ms:
notes_words 455 ready 2 pending 0
**Reviewing large file operations**tool
"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
output
succeeded in 244ms: (29 lines, middle cut at capture)
succeeded in 244ms:
CHAMPION.md
STATUS.md
__pycache__
backlog.py
build_stage_ids.py
build_stage_ids.py.pre-s2clean
config.json
config.json.pre-b001res
config.json.pre-cap128
config.json.pre-shape2
dash
dash_collect.py
dash_collect.py.pre-s2clean
frozen
items
loop.out
runner.log
runner.py
runner.py.pre-b001res
[... 931 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Reviewing decoder dimensions**tool
"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
output
succeeded in 61ms: (29 lines, middle cut at capture)
succeeded in 61ms:
import json,sys,statistics
from pathlib import Path
import torch
from safetensors.torch import load_file
A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4'
torch.set_num_threads(8);D=torch.load(C/'fidelity_directions.pt',weights_only=True)
for slug in sys.argv[1:]:
q=A/'queue'/slug;sd=load_file(str(q/'edit/adapter_model.safetensors'));rows=[]
for k,b in sd.items():
if not k.endswith('lora_B.weight'):continue
parts=k.split('.');l=int(parts[parts.index('layers')+1]);mod=parts[-3]
if mod not in ['o_proj','down_proj']:continue
sp='attn_write' if mod=='o_proj' else 'mlp_write';v=D[sp]['basis'][l].double();w=D[sp]['weight'][l].double()
u=v.T*w
beta=float((b.double()*u).sum()/u.square().sum())
rows.append({'layer':l,'module':mod,'signed_beta':beta,'leading_gain':1+beta,'all_gains':(1+beta*w).tolist()})
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)}}
(C/(slug+'_dose_geometry.json')).write_text(json.dumps(out,indent=2));print(slug,json.dumps(out['summary']))
"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
[... 966 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Assessing resource needs and script adjustments**tool
"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
output
succeeded in 222ms: (29 lines, middle cut at capture)
succeeded in 222ms:
61- return
62- cfg = json.load(open(os.path.join(d, "adapter_config.json")))
63- sd = load_file(os.path.join(d, "adapter_model.safetensors"))
64- self._ch = {}
65- for k in sd:
66: if k.endswith("lora_A.weight"):
67- p = k.split(".")
68: self._ch[(int(p[p.index("layers") + 1]), p[-3])] = (sd[k], sd[k.replace("lora_A", "lora_B")], cfg["lora_alpha"] / cfg["r"])
69-
70- # ---- base weights (CPU) ---------------------------------------------------------------------------------
71- def _file(self):
72- if self._f is None:
73- if self.model_dir not in _FILES: # one mapping of the checkpoint per process, shared by all sets
74- from safetensors import safe_open
75- _FILES[self.model_dir] = safe_open(os.path.join(self.model_dir, "model.safetensors"),
76- framework="pt", device="cpu")
77- self._f = _FILES[self.model_dir]
78- return self._f
79-
[... 1834 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 271ms: (29 lines, middle cut at capture)
succeeded in 271ms:
code-reader-damp-r4-033-edit-p6 PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 884 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Checking worker processes**assistant
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.
tool
"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
output
succeeded in 257ms: (29 lines, middle cut at capture)
succeeded in 257ms:
notes_words 464 ready 2 pending 1
PID ELAPSED %CPU RSS
1588967 58:45 1129 78985248
215: def save(self, path, r=None, max_rank=32, note=None):
216- """Write the adapter. Fails if any module needs more than max_rank. Returns the report also written to
217- path/edit.json: per module the rank, |dW|_F and |dW|_F / |W|_F."""
218- fac = self.factors()
219- assert fac, "empty edit"
220- need = max(u.shape[1] for u, _ in fac.values())
221- if need > max_rank:
[line removed by the dashboard scrubber]
223- raise ValueError(f"module {worst} needs rank {need} > max_rank {max_rank}")
224- norms = {}
225- np_ = os.path.join(os.path.dirname(os.path.abspath(__file__)), "data", "fro_norms.json")
226- if os.path.exists(np_):
227- norms = json.load(open(np_))
228- rep = {"modules": {}, "notes": self.notes}
229- for (l, mod), (u, v) in fac.items():
230- # |U V|_F from the small Gram matrices, no dense product
[... 1823 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 283ms: (29 lines, middle cut at capture)
succeeded in 283ms:
code-reader-damp-r4-033-edit-p6 PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 884 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Preparing for final session**tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command 'Get-Content turn4/finalize_entry.py' in C:\Users\Owner\wsp31_loop\work\gpt
output
succeeded in 58ms: (29 lines, middle cut at capture)
succeeded in 58ms:
import argparse,sys,json,hashlib,shutil,subprocess,re,time,os
from pathlib import Path
A=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'
os.environ.update(OMP_NUM_THREADS='8',MKL_NUM_THREADS='8',OPENBLAS_NUM_THREADS='8',PYTHONDONTWRITEBYTECODE='1')
def sha(p):return hashlib.sha256(Path(p).read_bytes()).hexdigest()
def main():
ap=argparse.ArgumentParser();ap.add_argument('slug');ap.add_argument('--ready',action='store_true');a=ap.parse_args()
q=A/'queue'/a.slug;assert not (q/'READY').exists()
probes={arm:json.loads((S/(a.slug+'-'+arm+'.json')).read_text()) for arm in ['edit','ctrl']}
for arm,p in probes.items():
assert p['summary']['all']['mean_kl']<1.0, f'{arm}: incoherent KL'
assert all(p['summary'].get(k,{'top_same':1})['top_same']==1 for k in ['turn','think','tool','close']), f'{arm}: format boundary changed'
assert p['summary']['code']['mean_dlp']>-.2, f'{arm}: large code likelihood loss'
shutil.copyfile(S/(a.slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
# Exact rebuild into this author's scratch only. Never overwrite the queued adapter.
rebuild=S/'rebuild'/a.slug
with (q/'rebuild.log').open('w') as f:subprocess.run(['bash',str(q/'build.sh'),str(rebuild)],stdout=f,stderr=subprocess.STDOUT,check=True)
hashes={};mismatches=[]
for arm in ['edit','ctrl']:
[... 2842 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Managing process guarding and auditing**assistant
[line removed by the dashboard scrubber] (70 lines, middle cut at capture)
[line removed by the dashboard scrubber]
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn4\final_audit.py
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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
[... 58271 characters cut ...]tool
"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
output
succeeded in 284ms:
tool
"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
output
succeeded in 231ms: (29 lines, middle cut at capture)
succeeded in 231ms:
code-reader-damp-r4-033-edit-p6
[task] code_n 25 base_lp -0.009472627454978805 change 0.0005503033523814337
summary {"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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 917 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 245ms: (29 lines, middle cut at capture)
succeeded in 245ms:
queued remaining scout checks code-reader-damp-r4-033
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 919 lines cut ...]
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Planning precise model combination**
**Finalizing combo builder logic**
[line removed by the dashboard scrubber]assistant
[line removed by the dashboard scrubber]
tool
"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
output
succeeded in 246ms: (29 lines, middle cut at capture)
succeeded in 246ms:
{
"base_model_name_or_path": "/home/keith/gemma-v2/models/gemma-4-31b-it-qat-w4a16-ct",
"bias": "none",
"lora_alpha": 8,
"lora_dropout": 0.0,
"peft_type": "LORA",
"r": 4,
"target_modules": "^model\\.language_model\\.layers\\.\\d+\\.(self_attn\\.(q_proj|k_proj|v_proj|o_proj)|mlp\\.(gate_proj|up_proj|down_proj))$",
"task_type": "CAUSAL_LM",
"use_rslora": false
}{
"modules": {
"0.down_proj": {
"rank": 4,
"fro": 0.6339877326568997,
"rel_fro": 0.00845050299348888
},
"0.o_proj": {
"rank": 4,
[... 4160 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 321ms:
tool
"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
output
succeeded in 235ms: (29 lines, middle cut at capture)
succeeded in 235ms:
code-reader-damp-r4-033-edit-p7 PENDING
code-reader-damp-r4-033-ctrl PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
[... 1026 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Noting tool write delay**assistant
The reader’s second check call is still running. I’ve prepared code for a possible fourth entry: an exact union of the reader and writer edits across all 420 ma (64 lines, middle cut at capture)
The reader’s second check call is still running. I’ve 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’ll finish the reader entry before starting it.
**Summarizing finalization process**
I'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.
2026-11-13T13:40:07.176684Z 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
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.e
[... 139959 characters cut ...]tool
"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
output
succeeded in 279ms:
tool
"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
output
succeeded in 331ms: (29 lines, middle cut at capture)
succeeded in 331ms:
notes_words 430 ready 2 pending 1 final False
code-reader-damp-r4-033-edit-p7
[task] code_n 32 base_lp -0.00015906619202854522 change -0.0001498875537484512
summary {"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}}
code-reader-damp-r4-033-ctrl PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
[... 1072 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing control timing and predictions**assistant
[line removed by the dashboard scrubber]
tool
"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
output
succeeded in 256ms: (24 lines, middle cut at capture)
succeeded in 256ms:
{"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}}
code-reader-damp-r4-033-edit
[task] code_n 25 base_lp -0.009472627454978805 change 0.0005503033523814337
[task] code_n 32 base_lp -0.00015906619202854522 change -0.0001498875537484512
summary {"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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
[... 1073 lines cut ...]
+'',
[line removed by the dashboard scrubb
[... 260 characters cut ...]tool
"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
output
succeeded in 299ms: (29 lines, middle cut at capture)
succeeded in 299ms:
},
"59.v_proj": {
"rank": 4,
"fro": 0.16353964181098105,
"rel_fro": 0.003584622657309781
}
},
"notes": [],
"note": {
"family": "readers",
"rank": 4,
"net_target": 0.0033,
"polarity": -1,
"seed": 314000,
"directions_sha256": "88fc5a64b35d7cbd2be6f5b6ffea7fa8d18c3f5af0bf31c28cabbbd0058801bf",
"formula": "signed spectral projector change; task differences of code arguments minus preceding thought; common component removed"
},
"net_rel": 0.003299999898887222,
"changed": 300
[... 2180 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 274ms: (29 lines, middle cut at capture)
succeeded in 274ms:
code-reader-damp-r4-033-ctrl PENDING
RESULT 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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
[... 1069 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing task processing and data handling**assistant
[line removed by the dashboard scrubber]
tool
[line removed by the dashboard scrubber]
output
succeeded in 35ms: (29 lines, middle cut at capture)
succeeded in 35ms:
import json,sys
from pathlib import Path
A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4'
for arg in sys.argv[1:]:
p=S/(arg+'.json')
if not p.exists():print(arg,'PENDING');continue
r=json.loads(p.read_text());print(arg)
for iid in sorted({x['instance'] for x in r['rows']}):
row=[x for x in r['rows'] if x['instance']==iid and x['kind']=='code']
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))
print('summary',json.dumps({k:v for k,v in r['summary'].items() if k in ['code','thought','all','close','tool']}))
18: dp=[p['pos'] for p in r['points']]
50: types={p['pos']:p['kind'] for p in r['points']}
52: rows.append({'instance':r['instance'],'pos':p,'kind':types.get(p,'code' if p in b['code'] else 'thought'),
57: summary={}
61: 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),
65: 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'}
67: print('RESULT',job['name'],json.dumps(summary),flush=True)
[... 2184 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 273ms:
tool
"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
output
succeeded in 226ms: (29 lines, middle cut at capture)
succeeded in 226ms:
code-reader-damp-r4-033-ctrl PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 1074 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Checking Python compile options**tool
"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
output
succeeded in 246ms: (29 lines, middle cut at capture)
succeeded in 246ms:
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
[... 2168 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 240ms: (29 lines, middle cut at capture)
succeeded in 240ms:
code-reader-damp-r4-033-ctrl PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 1074 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Reviewing final reader timing**assistant
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. **Inspecting CPU probe logs**
tool
"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
output
succeeded in 263ms: (29 lines, middle cut at capture)
succeeded in 263ms:
PROBE code-reader-damp-r4-033-edit-p6 6 seconds 141.4
PROBE code-reader-damp-r4-033-edit-p7 7 seconds 147.4
PROBE code-reader-damp-r4-033-ctrl 6 seconds 142.5
1.3G /home/keith/gemma-v2/wsp31/authors/gpt/scratch
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
[... 2174 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 226ms: (29 lines, middle cut at capture)
succeeded in 226ms:
code-reader-damp-r4-033-ctrl
[task] code_n 25 base_lp -0.009472627454978805 change 0.0009441060942776858
[task] code_n 32 base_lp -0.00015906619202854522 change -4.554460791172943e-06
summary {"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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
[... 1075 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py (29 lines, middle cut at capture)
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
[... 1071 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Reviewing timing and readiness**assistant
[line removed by the dashboard scrubber] (70 lines, middle cut at capture)
[line removed by the dashboard scrubber]
**Tracking final task synchronization**
**Planning concise summary format**
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ 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'}
+
[... 69689 characters cut ...]tool
"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
output
succeeded in 209ms: (29 lines, middle cut at capture)
succeeded in 209ms:
BUILD readers 50
BUILD readers 60
SAVED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/turn4/rebuild/code-reader-damp-r4-033 0.003299999898887222 0.0032999999029453037
# Champion
Generation 0: the unedited model. No edit has passed yet.
Every 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.
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
[... 2182 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 4120ms: (29 lines, middle cut at capture)
succeeded in 4120ms:
notes_words 438 ready 3 pending 0 final False
QUEUED_PRETEST code-joint-damp-r4-047
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
[... 1075 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Preparing pre-test checks**assistant
Three entries are now READY, including both required-size edits. I’ve started the joint candidate’s first check: it combines all 420 matrices at 0.467% whole-network size. Each stored factor matches its source entry exactly.
tool
"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
output
succeeded in 257ms: (29 lines, middle cut at capture)
succeeded in 257ms:
notes_words 445 ready 3 pending 1 final False
| 0011 | gpt | writer-close-amplify-033 | running_s1 | -7 to +14 | | | | - |
| 0012 | gpt | writer-close-amplify-050 | running_s1 | -12 to +16 | | | | - |
| 0013 | gpt | writer-close-shift-011 | queued_s1 | -6 to +12 | | | | - |
| 0025 | gpt | code-writer-damp-r4-033 | queued_s1 | -6 to +12 | | | | - |
| 0026 | gpt | code-writer-damp-r4-011 | queued_s1 | -5 to +10 | | | | - |
| 0027 | gpt | code-reader-damp-r4-033 | queued_s1 | -8 to +14 | | | | - |
edit exact union 420 matrices f8eec219c3fb2ab3a767923b9f63682f44666545f8d8b16422f39135eff2a12e
ctrl exact union 420 matrices 0e6228f204b741266ef4a0e94b6acdfe4d11dc8656c55d25d9c97f5a7c82d691
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
[... 1082 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Summarizing joint model evaluation**tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command 'Get-Content turn4/decline_scout.py' in C:\Users\Owner\wsp31_loop\work\gpt
output
succeeded in 22ms: (29 lines, middle cut at capture)
succeeded in 22ms:
import sys,json,shutil
from pathlib import Path
A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug=sys.argv[1];q=A/'queue'/slug
assert q.is_dir() and not (q/'READY').exists()
p=S/(slug+'-edit-p6.json');probe=json.loads(p.read_text());shutil.copyfile(p,q/'edit_scout.json')
[line removed by the dashboard scrubber]
(q/'AUTHOR_DECLINED.md').write_text(reason+'\n\n'+json.dumps(probe['summary'],indent=2)+'\n')
target=S/'declined'/slug;target.parent.mkdir(exist_ok=True);assert not target.exists() and target.resolve().is_relative_to(A.resolve());q.rename(target)
print('declined',slug)
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
[... 2190 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 272ms:
tool
"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
output
succeeded in 262ms: (29 lines, middle cut at capture)
succeeded in 262ms:
code-joint-damp-r4-047-edit-p6 PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 1082 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Tracking time intervals**assistant
The runner accepted the reader entry as 0027. The joint candidate’s checker and size checks also passed. Its replay will test whether the two edits reinforce ea (68 lines, middle cut at capture)
The runner accepted the reader entry as 0027. The joint candidate’s checker and size checks also passed. Its replay will test whether the two edits reinforce each other; I won’t assume their measured effects add.
**Verifying script and audit details**
**Reviewing computational resource usage**
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[fa
[... 70323 characters cut ...]tool
"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
output
succeeded in 284ms: (29 lines, middle cut at capture)
succeeded in 284ms:
code-joint-damp-r4-047-edit-p6 PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 1082 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Managing task timing**assistant
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 (67 lines, middle cut at capture)
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.
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+ spaces={'o_proj':'attn_write','down_proj':'mlp_write','q_proj':'attn_read','k_proj':'attn_read','v_proj':'attn_
[... 70201 characters cut ...]tool
"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
output
succeeded in 221ms: (29 lines, middle cut at capture)
succeeded in 221ms:
code-joint-damp-r4-047-edit-p6
[task] code_n 25 base_lp -0.009472627454978805 change -0.005234897025299858
summary {"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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 1082 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 238ms: (29 lines, middle cut at capture)
succeeded in 238ms:
queued remaining scout checks code-joint-damp-r4-047
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 1082 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing model run progress**assistant
[line removed by the dashboard scrubber]
tool
"C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\powershell.exe" -Command 'Get-Content turn4/changed_choices.py' in C:\Users\Owner\wsp31_loop\work\gpt
output
succeeded in 26ms: (29 lines, middle cut at capture)
succeeded in 26ms:
import sys,json,re
from pathlib import Path
A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4';sys.path.insert(0,str(C/'tools'))
import g31
[line removed by the dashboard scrubber]
out={}
for name in sys.argv[1:]:
r=json.loads((S/(name+'.json')).read_text());changes=[]
[line removed by the dashboard scrubber]
if row['base_top']==row['edit_top']:continue
ids=rs[row['instance']]['ids'];p=row['pos']
changes.append({'instance':row['instance'],'kind':row['kind'],'pos':p,'KL':row['kl'],
'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']])})
out[name]=changes
text=json.dumps(out,indent=2);text=re.sub(r'(?<![\w.])(?:\d{1,3}\.){3}\d{1,3}(?![\w.])','[address omitted]',text)
(C/'changed_choices.json').write_text(text)
print(json.dumps({k:v[:2] for k,v in json.loads(text).items()},indent=2))
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
[... 2207 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 281ms:
tool
"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
output
succeeded in 214ms: (29 lines, middle cut at capture)
succeeded in 214ms:
notes_words 469 ready 3 pending 1 final False
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 1083 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Confirming task status**assistant
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. **Verifying guard process and stop script**
tool
"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
output
succeeded in 245ms: (29 lines, middle cut at capture)
succeeded in 245ms:
/home/keith
PID PPID ELAPSED COMMAND
1588965 1 01:13:00 timeout 5100 /home/keith/gemma-v2/tii-venv/bin/python fidelity_worker.py
1588967 1588965 01:13:00 /home/keith/gemma-v2/tii-venv/bin/python fidelity_worker.py
1645764 1 01:02:28 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/turn4/deadline_guard.py
1588965
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
[... 2198 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 296ms:
tool
"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
output
succeeded in 272ms: (29 lines, middle cut at capture)
succeeded in 272ms:
code-joint-damp-r4-047-edit-p7 PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 2193 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Checking time references**tool
"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
output
succeeded in 253ms: (29 lines, middle cut at capture)
succeeded in 253ms:
code-joint-damp-r4-047-edit-p7 PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 1084 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Managing update timing and communication**assistant
The joint candidate’s second-task replay is still running. After its control finishes, I’ll either finalize it or archive the failed probe, then verify the queu (70 lines, middle cut at capture)
The joint candidate’s second-task replay is still running. After its control finishes, I’ll either finalize it or archive the failed probe, then verify the queue and stop this turn’s CPU processes.
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn4\stop_own_worker.py
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
+ out[space]={'basis':torch.stack(vec),'weight':torch.stack(weight),'common':common.float()}
+ diag[space]={'fraction_energy_kept':kept,'split_half_mean_cos':cos,'fit_tasks':[x['instance'] for x in data]}
+ torch.save(out,C/'fidelity_directions.pt');(C/'fidelity_fit.json').write_text(json.dumps(diag,indent=2))
+ 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)
+def build(family,dose,path,polarity=1):
+ champ_path=Path('/home/keith/gemma-v2/wsp31/queue/champion.json')
+ if champ_path.exists():state=json.loads(champ_path.read_text())
+ else:
+ assert 'Generation 0:' in champ_path.with_name('CHAMPION.md').read_text()
+ state={'gen':0}
+ assert state.get('gen',0)==0, 'Champion moved; redesign required before this pinned generation-0 build'
+ D=torch.load(C/'fidelity_directions.pt',weights_only=True);e=EditSet();c=EditSet()
+ mods={'writers':['o_proj','down_proj'],'readers':['q_proj','k_proj','v_proj','gate_proj','up_proj']}[family]
+
[... 70696 characters cut ...]tool
"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
output
succeeded in 263ms: (29 lines, middle cut at capture)
succeeded in 263ms:
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
[... 1088 lines cut ...]
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing final audit process**
**Deciding against citations**tool
"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
output
succeeded in 238ms: (29 lines, middle cut at capture)
succeeded in 238ms:
code-joint-damp-r4-047-edit-p7
[task] code_n 32 base_lp -0.00015906619202854522 change -0.0005520584762077618
summary {"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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 1091 lines cut ...]
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Summarizing control run and archiving**assistant
[line removed by the dashboard scrubber]
tool
"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
output
succeeded in 244ms: (29 lines, middle cut at capture)
succeeded in 244ms:
{"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}}
apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\turn4\archive_joint.py
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
[... 1118 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 256ms: (29 lines, middle cut at capture)
succeeded in 256ms:
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/archive_joint.py b/turn4/archive_joint.py
[... 2263 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 259ms:
tool
"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
output
succeeded in 313ms: (29 lines, middle cut at capture)
succeeded in 313ms:
code-joint-damp-r4-047-ctrl PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 1123 lines cut ...]
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Analyzing CPU-based finalization process**
**Confirming audit path format**assistant
The joint edit’s pooled thought log probability fell by 0.0381 nat versus the base. Its control is still running. The three separate entries remain queued, and (82 lines, middle cut at capture)
The joint edit’s 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’t start another candidate this turn.
**Summarizing local code changes**
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/archive_joint.py b/turn4/archive_joint.py
new file mode 100644
index 0000000000000000000000000000000000000000..38373391138e67965f546ea7d2f9b95ce9a3a82e
--- /dev/null
+++ b/turn4/archive_joint.py
@@ -0,0 +1,22 @@
+"""Keep the full failed combination probe without creating READY."""
+import json,datetime,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4'
+slug='code-joint-damp-r4-047';q=A/'queue'/slug
+assert q.is_dir() and not (q/'READY').exists()
+e=json.loads((q/'edit_pretest.json').read_text())['summary']
+c=json.loads((q/'ctrl_pretest.json').read_text())['summary']
+gap=e['thought']['mean_dlp']-c['thought']['mean_dlp']
+assert gap<.01,'Reassess the actual result before declining this candidate'
+reason=f'''# Author declined this combination
+
+Completed {datetime.datetime.now(datetime.timezone.utc).isoformat()}.
+
[line removed by the dashboard scrubber]
+
[line removed by the dashboard scrubber]
+'''
+(q/'AUTHOR_DECLINED.md').write_text(reason)
+target=S/'declined'/slug;assert not target.exists()
+assert target.resolve().is_relative_to(A.resolve()) and q.resolve().is_relative_to(A.resolve())
+q.rename(target);print(reason)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean
[... 72455 characters cut ...]tool
"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
output
succeeded in 263ms: (29 lines, middle cut at capture)
succeeded in 263ms:
code-joint-damp-r4-047-ctrl PENDING
PROBE code-joint-damp-r4-047-edit-p7 7 seconds 152.9
PROBE code-joint-damp-r4-047-ctrl 6 seconds 150.1
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
[... 1125 lines cut ...]
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Reviewing final audit details**
**Confirming process closure**assistant
The joint control has finished its first task and is on the last call. After that result, I’ll close the failed-combination record, check the runner’s frozen fi (82 lines, middle cut at capture)
The joint control has finished its first task and is on the last call. After that result, I’ll close the failed-combination record, check the runner’s frozen files, and shut down the worker and deadline guard.
**Analyzing task status and finalization conditions**
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/archive_joint.py b/turn4/archive_joint.py
new file mode 100644
index 0000000000000000000000000000000000000000..38373391138e67965f546ea7d2f9b95ce9a3a82e
--- /dev/null
+++ b/turn4/archive_joint.py
@@ -0,0 +1,22 @@
+"""Keep the full failed combination probe without creating READY."""
+import json,datetime,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4'
+slug='code-joint-damp-r4-047';q=A/'queue'/slug
+assert q.is_dir() and not (q/'READY').exists()
+e=json.loads((q/'edit_pretest.json').read_text())['summary']
+c=json.loads((q/'ctrl_pretest.json').read_text())['summary']
+gap=e['thought']['mean_dlp']-c['thought']['mean_dlp']
+assert gap<.01,'Reassess the actual result before declining this candidate'
+reason=f'''# Author declined this combination
+
+Completed {datetime.datetime.now(datetime.timezone.utc).isoformat()}.
+
[line removed by the dashboard scrubber]
+
[line removed by the dashboard scrubber]
+'''
+(q/'AUTHOR_DECLINED.md').write_text(reason)
+target=S/'declined'/slug;assert not target.exists()
+assert target.resolve().is_relative_to(A.resolve()) and q.resolve().is_relative_to(A.resolve())
+q.rename(target);print(reason)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+
[... 72481 characters cut ...]tool
"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
output
succeeded in 235ms: (29 lines, middle cut at capture)
succeeded in 235ms:
code-joint-damp-r4-047-ctrl PENDING
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 1123 lines cut ...]
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Organizing final audit and cleanup**
**Analyzing task baseline data**assistant
Only the joint control’s final call remains. The separate writer and reader entries are ready for screening; the combination has shown why their effects need to (81 lines, middle cut at capture)
Only the joint control’s 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.
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/archive_joint.py b/turn4/archive_joint.py
new file mode 100644
index 0000000000000000000000000000000000000000..38373391138e67965f546ea7d2f9b95ce9a3a82e
--- /dev/null
+++ b/turn4/archive_joint.py
@@ -0,0 +1,22 @@
+"""Keep the full failed combination probe without creating READY."""
+import json,datetime,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4'
+slug='code-joint-damp-r4-047';q=A/'queue'/slug
+assert q.is_dir() and not (q/'READY').exists()
+e=json.loads((q/'edit_pretest.json').read_text())['summary']
+c=json.loads((q/'ctrl_pretest.json').read_text())['summary']
+gap=e['thought']['mean_dlp']-c['thought']['mean_dlp']
+assert gap<.01,'Reassess the actual result before declining this candidate'
+reason=f'''# Author declined this combination
+
+Completed {datetime.datetime.now(datetime.timezone.utc).isoformat()}.
+
[line removed by the dashboard scrubber]
+
[line removed by the dashboard scrubber]
+'''
+(q/'AUTHOR_DECLINED.md').write_text(reason)
+target=S/'declined'/slug;assert not target.exists()
+assert target.resolve().is_relative_to(A.resolve()) and q.resolve().is_relative_to(A.resolve())
+q.rename(target);print(reason)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+ if v[j,v[j].abs().argmax()]<0:v[j].neg_()
+ vec.append(v[:4].float());weight.append((s[:4]/s[0]).square().float())
+ kept.append(float(s[:4].square().sum()/s.square().sum()))
+ d1=unit(diff[:3,l].mean(0));d2=unit(diff[3:,l].mean(0));cos.append(float(d1@d2))
[... 72398 characters cut ...]tool
"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
output
succeeded in 238ms: (29 lines, middle cut at capture)
succeeded in 238ms:
code-joint-damp-r4-047-ctrl
[task] code_n 25 base_lp -0.009472627454978805 change 0.0003140716137059485
[task] code_n 32 base_lp -0.00015906619202854522 change -1.6046001966696366e-05
summary {"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}}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
[... 1123 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 4561ms: (29 lines, middle cut at capture)
succeeded in 4561ms:
{"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}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
[line removed by the dashboard scrubber]
+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
[... 1120 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 5265ms: (29 lines, middle cut at capture)
succeeded in 5265ms:
# Author declined this combination
Completed 2026-11-13T13:58:01.490529+00:00.
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
{"utc": "2026-11-13T13:58:06.528273+00:00", "owned_pids": [1588965, 1588967, 1645764], "remaining_pids": [], "graceful": true}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
[... 1128 lines cut ...]
+'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.',
+'',
+'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.',
+'',
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))tool
"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
output
succeeded in 576ms: (29 lines, middle cut at capture)
succeeded in 576ms:
notes_words 504 ready 3 pending 0 final True
{"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}
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
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+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
[... 1125 lines cut ...]
[line removed by the dashboard scrubber]
+text='\n'.join(lines)+'\n';assert len(text.split())<600
+(A/'NOTES.md').write_text(text)
+print('notes_words',len(text.split()),'ready',len(ready),'pending',len(pending))
**Summarizing final audit lines**
I’m 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’s implied, to keep everything transparent. I’m focusing on clarity without citations or memory metrics, aiming for a concise overview fitting the requested format.assistant
0025 `code-writer-damp-r4-033`: 0.33%, 120 matrices; test code/prose style damping. (81 lines, middle cut at capture)
0025 `code-writer-damp-r4-033`: 0.33%, 120 matrices; test code/prose style damping.
0026 `code-writer-damp-r4-011`: 0.11%, 120 matrices; test one-third dose.
0027 `code-reader-damp-r4-033`: 0.33%, 300 matrices; test the reader-side mechanism.
All three READY and accepted; matched controls, checker passes, and byte-exact rebuilds verified.
Three failed candidates archived; NOTES updated; workers stopped at 87.6 minutes. Zero GPU time; task gains remain unmeasured.
diff --git a/turn4/archive_failed.py b/turn4/archive_failed.py
new file mode 100644
index 0000000000000000000000000000000000000000..f2de9b18ab7be2ead1cf9cd63273436dec1848d7
--- /dev/null
+++ b/turn4/archive_failed.py
@@ -0,0 +1,12 @@
+import json,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4';slug='code-writer-r4-033';q=A/'queue'/slug
+assert q.exists() and not (q/'READY').exists()
+for arm in ['edit','ctrl']:shutil.copyfile(S/(slug+'-'+arm+'.json'),q/(arm+'_pretest.json'))
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+(q/'AUTHOR_DECLINED.md').write_text(reason+'\n')
+(q/'build.sh').write_text((q/'build.sh').read_text().replace('build_fidelity.py','build_fidelity_initial.py'))
+target=S/'declined'/slug;target.parent.mkdir(exist_ok=True)
+assert target.resolve().is_relative_to(A.resolve()) and not target.exists()
+q.rename(target)
+print('archived',target)
diff --git a/turn4/archive_joint.py b/turn4/archive_joint.py
new file mode 100644
index 0000000000000000000000000000000000000000..38373391138e67965f546ea7d2f9b95ce9a3a82e
--- /dev/null
+++ b/turn4/archive_joint.py
@@ -0,0 +1,22 @@
+"""Keep the full failed combination probe without creating READY."""
+import json,datetime,shutil
+from pathlib import Path
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');S=A/'scratch/turn4'
+slug='code-joint-damp-r4-047';q=A/'queue'/slug
+assert q.is_dir() and not (q/'READY').exists()
+e=json.loads((q/'edit_pretest.json').read_text())['summary']
+c=json.loads((q/'ctrl_pretest.json').read_text())['summary']
+gap=e['thought']['mean_dlp']-c['thought']['mean_dlp']
+assert gap<.01,'Reassess the actual result before declining this candidate'
+reason=f'''# Author declined this combination
+
+Completed {datetime.datetime.now(datetime.timezone.utc).isoformat()}.
+
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+
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+'''
+(q/'AUTHOR_DECLINED.md').write_text(reason)
+target=S/'declined'/slug;assert not target.exists()
+assert target.resolve().is_relative_to(A.resolve()) and q.resolve().is_relative_to(A.resolve())
+q.rename(target);print(reason)
diff --git a/turn4/build_fidelity.py b/turn4/build_fidelity.py
new file mode 100644
index 0000000000000000000000000000000000000000..b279404b5de8a168f4cddba81ebc89eda25b64d8
--- /dev/null
+++ b/turn4/build_fidelity.py
@@ -0,0 +1,65 @@
+"""Closed-form rank-4 code/prose subspace edits. CPU, no optimizer."""
+import sys,json,argparse,hashlib
+from pathlib import Path
+import torch
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt');C=A/'code/turn4';S=A/'scratch/turn4'
+sys.path.insert(0,str(C/'tools'))
+from edits import EditSet
+torch.set_num_threads(8);torch.set_grad_enabled(False)
+def unit(x):return x/x.norm(dim=-1,keepdim=True).clamp_min(1e-20)
+def fit():
+ data=[torch.load(S/f'capture_{i}.pt',weights_only=False) for i in range(6)]
+ out={};diag={}
+ for space in ['attn_write','mlp_write','attn_read','mlp_read']:
+ p=torch.stack([x['means'][space]['code'] for x in data]).double()
+ n=torch.stack([x['means'][space]['thought'] for x in data]).double()
+ common=unit((p+n).mean(0));diff=p-n
+ diff=diff-(diff*common[None]).sum(-1,keepdim=True)*common[None]
+ vec=[];weight=[];kept=[];cos=[]
+ for l in range(60):
+ u,s,v=torch.linalg.svd(diff[:,l],full_matrices=False)
+ # Fix SVD signs for reproducible factors; the projection itself is sign invariant.
+ for j in range(len(v)):
+
[... 72692 characters cut ...]End of trace · 336 steps · last chunk 29 min ago · seq 0