{"chunks":1,"id":"t001","last_seq":0,"rows":[{"i":0,"kind":"meta","long":false,"text":"Reading additional input from stdin...\nOpenAI Codex v0.155.1\n--------\nworkdir: C:\\Users\\Owner\\wsp31_loop\\work\\gpt\nmodel: gpt-6-astra\nprovider: openai\napproval: never\nsandbox: danger-full-access\nreasoning effort: high\nreasoning summaries: concise\nsession id: 01a1d2ca-7341-7f10-a892-d998bd109e93\n--------"},{"i":1,"kind":"user","long":false,"text":"You are author 'gpt' in the wsp31 weight-editing programme. This is turn 1. 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."},{"i":2,"kind":"assistant","long":false,"text":"I\u2019ll read the brief on wrx90 and work as author `gpt`, completing each queue entry with its `READY` file and keeping `NOTES.md` current."},{"i":3,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/BRIEF.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":4,"kind":"output","long":true,"text":" succeeded in 334ms:\n# wsp31 author brief (read fully at the start of every turn)\n\nYou are one of three authors (claude, gpt, gemini) taking turns. Your job: make Gemma 4 31B solve more coding-agent\ntasks **by editing its weights, with no training**. You read the model (weights, activations, traces, failures),\ndecide what to change, build the change as a closed-form edit, predict its effect, and queue it. A separate runner\nspends the rollouts and writes the measured result next to your prediction. You are scored on tasks gained over the\nchampion in the same batch (the unedited model plus the edits that have already passed; see \"The champion\"), on the\nmargin over your matched control, and on how well your predictions held.\n\n**Be bold.** Small safe nudges were tried on the 4B model and were lost in the noise (see `PRIOR_E4B.md`). A queue\nslot is cheap; a third variation of a null result is a wasted slot. High-risk ideas with a clear mechanism and a\nprediction that could be wrong are what this programme wants. Say what would prove you wrong.\n\n## Where you work\n\n- Everything happens on host `wrx90`, reached with `ssh -o BatchMode=yes wrx90 ''`. Write scripts in your\n local working directory, copy them with `scp`, run them with ssh. Keep ssh output small (`tail`, `cut`, `head`).\n- Root: `/home/keith/gemma-v2` (below: `$R`). Python: `$R/tii-venv/bin/python` (torch, transformers, vLLM 0.19.1,\n peft, safetensors; no scipy). `. $R/env.sh` sets `R` and `PY`.\n[... 179 lines cut ...]\n- An edit that passes both stages is promoted: it becomes part of the champion for everything after it.\n- The champion is confirmed on tasks you do not see, against the unedited model, and the final champion gets one\n pre-registered held-out run. A changed edit is a new edit.\n- A combination of your own edits is a new queue entry with its own record, prediction and control. Combining with\n edits that already passed needs nothing from you: that is what the champion does.\n\nSingle-run agent evaluations are noisy by several tasks. An edit worth having shows up as ten or more tasks.\nAim there."},{"i":5,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"rg -n \\\"wsp31|weight.editing|wrx90\\\" C:\\\\Users\\\\Owner\\\\.codex\\\\memories\\\\MEMORY.md\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":6,"kind":"output","long":true,"text":" succeeded in 29ms:\n57:- RTXSim, /home/keith/rtxsim, wrx90, calibration-flow, native_cycles, trace compression, W4, 512 MiB, 2 GiB, RTXSIM_CUDA_INCLUDE, CalibrationRequired, A/B confidence interval, unsupported instructions, replay_calibration_flow.py, 82565b4c3ad2aff437495781c42d3934f5eb0ce0, 42520282752\n69:- Clean-container compilation must use configured toolkit headers through `RTXSIM_CUDA_INCLUDE`, rather than deriving a CUDA include path from wrx90. Replay with `CUDA_VISIBLE_DEVICES= python3 tools/replay_calibration_flow.py evidence/cpu/2026-11-08-calibration-flow/catalog.json work/new-flow-replay`. [Task 1]\n75:- symptom: clean-container CI cannot find `cuda.h` -> cause: `build_calibration_bundle.py` derives headers from a host-specific wrx90 path -> fix: use `RTXSIM_CUDA_INCLUDE` or configured toolkit include paths. [Task 1]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n873:- The source of truth is `/home/keith/kaggriculture-arena` on `wrx90`; the web app is separately hosted on `arena-mini` at `/opt/arena-web`, so dashboard changes require `arena-web-sync`/separate deployment. Restored entries were selected by frozen Elo under the stated contract and build/public-executable checks. [Task 2]\n884:applies_to: cwd=C:\\Users\\Owner\\Documents\\Codex\\2026-09-15\\can; reuse_rule=reuse scheduling, evidence, and verification gates for the arena at /home/keith/kaggriculture-arena on wrx90, but recheck live roster, executors, and rating evidence before changes\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n970: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\n976:- rollout_summaries/2026-09-12T15-39-04-84cj-wrx90_disk_audit_and_verified_cleanup.md (cwd=\\\\?\\C:\\Users\\Owner\\Documents\\Codex\\2026-09-12\\ne, rollout_path=C:\\Users\\Owner\\.codex\\sessions\\2026\\09\\12\\rollout-2026-09-12T11-39-04-01a09645-b096-7c70-b6c5-4a34b8305bdb.jsonl, updated_at=2026-09-12T16:09:25+00:00, thread_id=01a09645-b096-7c70-b6c5-4a34b8305bdb, read-only until approval)\n980:- WRX90, wrx90-blackwell, disk-audit, WD_BLACK SN8100, 99% full, workstation-runs, Docker mounts, /tmp tmpfs, nvidia-smi driver/library mismatch\n986:- rollout_summaries/2026-09-12T15-39-04-84cj-wrx90_disk_audit_and_verified_cleanup.md (cwd=\\\\?\\C:\\Users\\Owner\\Documents\\Codex\\2026-09-12\\ne, rollout_path=C:\\Users\\Owner\\.codex\\sessions\\2026\\09\\12\\rollout-2026-09-12T11-39-04-01a09645-b096-7c70-b6c5-4a34b8305bdb.jsonl, updated_at=2026-09-12T16:09:25+00:00, thread_id=01a09645-b096-7c70-b6c5-4a34b8305bdb, 40 targets; 1,011.1 GiB net gain)\n990:- wrx90-cleanup-20260912, runtime-sources.tar.gz, SHA-256, /home/keith/vast-backups/instance-50098689-20260910, .cache/pip, Docker build cache, DeletedCount=40, ProtectedRunEntries=665\n996:- rollout_summaries/2026-09-12T15-39-04-84cj-wrx90_disk_audit_and_verified_cleanup.md (cwd=\\\\?\\C:\\Users\\Owner\\Documents\\Codex\\2026-09-12\\ne, rollout_path=C:\\Users\\Owner\\.codex\\sessions\\2026\\09\\12\\rollout-2026-09-12T11-39-04-01a09645-b096-7c70-b6c5-4a34b8305bdb.jsonl, updated_at=2026-09-12T16:09:25+00:00, thread_id=01a09645-b096-7c70-b6c5-4a34b8305bdb, 43 targets; worktree/source state preserved)\n1006:- rollout_summaries/2026-11-06T14-44-42-ncSR-delete_wrx90_folders_with_verification.md (cwd=\\\\?\\C:\\Users\\Owner\\Documents\\Codex\\2026-11-06\\please-delete-these-folders-on-wrx90, rollout_path=\\\\?\\C:\\Users\\Owner\\.codex\\sessions\\2026\\11\\06\\rollout-2026-11-06T09-44-42-01a1b151-adf6-7600-8cef-215476593e21.jsonl, updated_at=2026-11-06T14:48:42+00:00, thread_id=01a1b151-adf6-7600-8cef-215476593e21, six req\n[... 1482 characters cut ...]"},{"i":7,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md; cat /home/keith/gemma-v2/wsp31/queue/STATUS.md; cat /home/keith/gemma-v2/wsp31/queue/CHAMPION.md; cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/LEDGER.md; ls /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/ledger'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":8,"kind":"output","long":true,"text":" succeeded in 469ms:\n# Notes of author gpt\n\nNothing yet: this is the first turn.\n# wsp31 queue status (2026-11-12 21:44:17 EST)\n\nRule: not fixed yet (waits for the unedited baseline, ledger record 0001)\n\n## Batches\n\n| batch | stage | gpu | state | arms | rows | note |\n|---|---|---|---|---|---|---|\n| b001 | s1 | 1 | running | base aa zero | 119 | |\n\n## Edits\n\n| ledger | author | slug | state | predicted (120) | stage 1 | stage 2 | control | verdict |\n|---|---|---|---|---|---|---|---|---|\n| 0007 | claude | deep-gate-b01-end-neurons-x9 | queued_s1 | -5 to +9 | | | | - |\n| 0008 | claude | deep-thought-gate-g3-b03 | queued_s1 | -4 to +9 | | | | - |\n[... 23 lines cut ...]\n0004-claude-size-of-real-training-updates.md\n0006-claude-interp-lane-readers-failure-modes-directions.md\n0007-claude-deep-gate-b01-end-neurons-x9.md\n0008-claude-deep-thought-gate-g3-b03.md\n0009-claude-end-neurons-x25.md\n0010-claude-early-gate-b01-end-neurons-x9.md\nTEMPLATE.md\ncat: /home/keith/gemma-v2/wsp31/queue/CHAMPION.md: No such file or directory"},{"i":9,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/ledger/*.md; cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/PRIOR_E4B.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":10,"kind":"output","long":true,"text":" succeeded in 297ms:\n---\nid: 0001\ndate: 2026-11-12\nauthor: claude\ntrack: baseline\ntitle: Unedited 31B on the screening set, two passes (base rate and identical-arm noise)\nstatus: done\nset: wsp31_screen_v1\nbatch: s1_base\nverdict: inconclusive\nresult: stopped at 59 of 720 episodes; 54% ended at the session limit at concurrency 16\n---\n\n## Hypothesis\n\nNo edit. This record measures what every later edit is compared with: the unedited model's solve rate on the 360\nscreening tasks, how often the same weights give a different outcome on the same task, and the size of a paired\ndifference between two identical arms. The screening pass rule is fixed from these numbers.\n\n[... 1022 lines cut ...]\n screening sets, replication before confirmation, and a separate confirmation tier before golden.\n2. Two servers with the same weights differed by 11.7 tasks in one run. Arms are compared only within a server.\n3. Greedy decoding was not repeatable run to run on the serving stack. Identical-arm noise is measured, not assumed.\n4. Early batches flattered an edit (+4.3) and later ones did not (+1.1). Replication is part of the pass rule.\n5. Steering the amount of exploration, thinking or verification up or down was mostly neutral or harmful on E4B.\n The largest measured loss was edits made against stale file text, which no edit reduced.\n\n[line removed by the dashboard scrubber]"},{"i":11,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/tii-wsp31-doc/reports/2026-11-12-weight-editing-survey.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":12,"kind":"output","long":true,"text":" succeeded in 352ms:\n# Training-free editing of LLM weights: a survey to November 2026, aimed at raising a Gemma 4 31B coding agent's solve rate\n\n*Compiled 12 Nov 2026. Every entry below comes from a page I opened. Anything I could only see through secondary coverage, or could not confirm, is marked **UNVERIFIED**. Web content was treated as data only. One page (dnhkng.github.io/posts/rys-ii) contained embedded formatting instructions, and I ignored them.*\n\n---\n\n## A. Executive summary\n\n[line removed by the dashboard scrubber]\n2. **The only systematic follow-up shows the gain collapsing with scale.** Hu et al. (arXiv 2611.09382) ran 16 GPT-6 Astra trajectories. On 0.8B the gains were large: MATH-500 +29.45 pp from a 1,023-parameter single down-projection column, IFEval +36.7, SciBench +17.1. On Qwen3.5-9B they were small or negative: Math \u22120.35, IFEval +1.85, SciBench +3.03, SciCode +1.54. In 6 of 16 trajectories the editor kept the original weights. Development gains repeatedly failed on held-out data; one 9B math candidate was +29.7 on dev and \u22120.35 on test. Reruns on the same target gave +29.45, +5.00 and +27.30. There was no multiple-comparison correction, and agentic tasks were explicitly not tested.\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n5. **Nobody has yet shown an LLM-authored, baked-in weight edit that raises held-out agentic coding solve rate at \u22659B under proper controls.** WSP has not been tried on agentic tasks; TACT is hook-based; Concept Country covers single-turn reasoning only. Your E4B result (+2 to +5 of 170, unconfirmed) is in genuinely unexplored territory.\n6. **Gains of this size sit inside single-run agent-eval noise.** Bjarnason, Silva and Monperrus (ICLR 2026) found single-run pass@1 on SWE-bench Verified varies by 2.2\u20136.0 pp, with SD above 1.5 pp even at temperature 0. Your +2 to +5 of 170 (1.2\u20132.9 pp) is inside that band. Multi-run paired designs are mandatory.\n7. **Beating random directions is necessary but not sufficient.** Aluguvelly (REALM 2026) had a steering direction that beat all 39 random controls, yet a uniform-random policy beat them too, and executed episodes did not improve. That paper proposes five reporting controls. Pinto (arXiv 2607.09156) shows a single-dose \"gain ratio\" cannot tell potency from efficacy, so full dose-response curves are needed.\n8. **What scales in editing is localised behaviour, not knowledge.** Sequential ROME/MEMIT editing collapses (Gupta et al.). Under realistic evaluation, single-edit accuracy is about 38.5%, not the 96.8% previously reported, and success falls to about 10% by 1,000 sequential edits (\"Mirage\", ACL 2025). An ICML 2026 paper argues AlphaEdit's stability comes from accounting for accumulated constraints, not from the null-space trick.\n9. **Training-free capability transfer between checkpoints is real but needs a donor.** Fine-tuning transfer gave Llama 3.0 \u2192 3.1 +46.9% IFEval and +15.7% LiveCodeBench. Param\u0394 recovers about 95\u201398% of post-training. Reasoning vectors (GRPO \u2212 SFT) gave HumanEval +4.3%. Selective-RL (Oct 2026) finds that the **dominant spectral directions of an RL update** transfer better than the full update, with controls. Theseus (ICML 2026) and BiCo move task vectors across widths and depths using activation Procrustes. I found no RL'd Gemma 4 31B donor. Several community LoRA \"agent-distill\" fine-tunes of gemma-4-31B-it exist, with self-reported, unverified numbers.\n10. **Reading meaning straight from weights is still weak at scale.** MIT's tool-free reading worked on networks under about 172k weights. Ahmed (arXiv 2611.08070) finds Claude Opus 5.5's zero-shot weight reading is \"local arithmetic plus dataset priors.\" VPD/SPD parameter decomposition has only reached a 67M 4-layer model (Goodfire, May 2026). Weight-native readers that do work are *trained*: DIT for weight diffs, W2T for LoRA canonicalisation and embedding.\n11. **Gemma 4 interpretability tooling is thin.** The decoderesearc\n[... 1571 characters cut ...]"},{"i":13,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/tools/TOOLS.md; cat /home/keith/gemma-v2/wsp31/tools/ARCH.md; cat /home/keith/gemma-v2/wsp31/interp/REPORT.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":14,"kind":"output","long":true,"text":" succeeded in 398ms:\n# wsp31 tools for edit authors (interim version, Thu 12 Nov 2026, 8:36 PM ET)\n\nEverything here lives in `$R/wsp31/tools` (below `$T`; `$R = /home/keith/gemma-v2`). Each entry ends with\n**Verified by** (a measurement that was made) or **NOT VERIFIED YET** (written, first real run still queued; use it,\nbut do not build a claim on its numbers alone). The file is updated as runs finish; architecture facts are in\n`$T/ARCH.md` (read \"Consequences for weight edits\" there before designing an edit).\n\nStart every shell with:\n\n . /home/keith/gemma-v2/env.sh; T=$R/wsp31/tools\n export WSP31_WORK=$R/wsp31/authors//scratch # caches and server logs of the tools go here, not into $T\n\nDo not write into `$T`. Run the tools by absolute path from your own directory.\n\n## 1. Edit format (what `edit/` and `ctrl/` must be)\n\nA PEFT LoRA adapter directory: `adapter_config.json` + `adapter_model.safetensors` (+ optional `edit.json` note).\nThe runner serves it with vLLM (`$R/serve_31b.sh`, `--max-lora-rank 32`) on top of the unedited 4-bit checkpoint, so\nthe model computes `y = W x + 2 * B (A x)` in bf16 for every module the adapter names; nothing is merged or\n[... 547 lines cut ...]\n the tools lane has since marked as an older harness. Those packs are not used. Ground truth will be re-measured\n on `tools/data/probe_screen.jsonl` before any reader sees a C or D item.\n- The agy reader at scale: at about 9 minutes per call it cannot finish the pilot tonight; it continues in the\n fixed order of amendment 2 and is reported with its n.\n- Priority 4 of the lane (do atlas or reader predictions agree with what edits did in rollouts): no stage-1 result\n exists yet.\n\n**Ensuring output length limits**"},{"i":15,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/tools/TOOLS.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":16,"kind":"output","long":true,"text":" succeeded in 337ms:\n# wsp31 tools for edit authors (interim version, Thu 12 Nov 2026, 8:36 PM ET)\n\nEverything here lives in `$R/wsp31/tools` (below `$T`; `$R = /home/keith/gemma-v2`). Each entry ends with\n**Verified by** (a measurement that was made) or **NOT VERIFIED YET** (written, first real run still queued; use it,\nbut do not build a claim on its numbers alone). The file is updated as runs finish; architecture facts are in\n`$T/ARCH.md` (read \"Consequences for weight edits\" there before designing an edit).\n\nStart every shell with:\n\n . /home/keith/gemma-v2/env.sh; T=$R/wsp31/tools\n export WSP31_WORK=$R/wsp31/authors//scratch # caches and server logs of the tools go here, not into $T\n\nDo not write into `$T`. Run the tools by absolute path from your own directory.\n\n## 1. Edit format (what `edit/` and `ctrl/` must be)\n\nA PEFT LoRA adapter directory: `adapter_config.json` + `adapter_model.safetensors` (+ optional `edit.json` note).\nThe runner serves it with vLLM (`$R/serve_31b.sh`, `--max-lora-rank 32`) on top of the unedited 4-bit checkpoint, so\nthe model computes `y = W x + 2 * B (A x)` in bf16 for every module the adapter names; nothing is merged or\n[... 225 lines cut ...]\n- The brief gives no ports for authors; this file assigns 18400 / 18410 / 18420.\n- One GPU hold is limited to 30 minutes by the common rules; the brief's 45 minutes per turn therefore means at\n least two holds, and the wrapper does not count an author's total.\n[line removed by the dashboard scrubber]\n not in `traces/`, and that the base run is still in progress (59 of the screening episodes so far).\n\n**Designing weight-based spectral shrinking**\n**Controlling orthogonal spectral norms**"},{"i":17,"kind":"assistant","long":true,"text":"The champion file is missing, and the ledger shows no promoted edits. I\u2019m treating generation 0 as the base and will record that assumption. Existing entries target thought endings; I\u2019m checking a broader edit that weakens the internal state associated with long thoughts across attention and MLP writers.\n\n2026-11-13T02:45:14.285664Z ERROR codex_core::tools::router: error=apply_patch verification failed: Failed to find expected lines in C:\\Users\\Owner\\.codex\\memories\\MEMORY.md:\n# Task Group: 2025 federal, California, and Massachusetts electronic-filing handoff\n\nscope: prepare and independently review the 2025 returns, preserve unresolved Massachusetts interpretation, and hand off electronic filing without signing, filing, payment, or unsupported tax positions\napplies_to: cwd=C:\\Users\\Owner\\Desktop\\Tax Documents; reuse_rule=reuse the workbook paths and review/handoff gates only for this 2025 document set; recheck current law, filing-software calculations, evidence, deadlines, and final payload before action\n\n## Task 1: Prepare and review 2025 federal, California, and Massachusetts returns, partial\n\n### rollout_summary_files\n\n- rollout_summaries/2026-10-12T15-05-59-Uxav-2025_tax_review_electronic_filing_handoff.md (cwd=\\\\?\\C:\\Users\\Owner\\Desktop\\Tax Documents, rollout_path=\\\\?\\C:\\Users\\Owner\\.codex\\sessions\\2026\\10\\12\\rollout-2026-10-12T11-06-00-01a130a6-2f1a-7b83-af77-81e87189a04f.jsonl, updated_at=2026-10-14T04:46:28+00:00, thread_id=01a130a6-2f1a-7b83-af77-81e87189a04f, reviewed electronic-filing handoff; not filed)\n\n[line removed by the dashboard scrubber]\n\n- 2025-taxes, TurboTax, Schedule C, DFAS, National-Guard, Massachusetts, California, Schedule S, M-2210, HSA, 2025_tax_review.xlsx, TaxReturn_FINAL_FULL_WORKSHEETS.pdf\n\n## User preferences\n\n[line removed by the dashboard scrubber]\n- when the user declined contacting TurboTax support over the $2 Massachusetts difference -> retain competing interpretations and clearly label the user-selected native software result rather than silently resolving legal uncertainty. [Task 1]\n- when the user asked whether Massachusetts can tax Guard duty despite living in Florida/California and whether DFAS already withheld it -> explain work-location sourcing, military-status exceptions, and withholding separately before relying on a return result. [Task 1]\n\n## Reusable knowledge\n\n- The final workbook audit reported 664 source rows, 246 formulas, 310 calculation/input checks, 41 saved-file checks, zero formula errors/cycles, and a PASS independent audit. `outputs/2025_tax_review/` holds `START_HERE.txt`, `2025_tax_review.xlsx`, the final TurboTax PDF, and supporting audit files; final workbook SHA-256 is `51ebeaf7b9a3d721ab7d63c591dbd68d6551d8fabbb1a10f17d7baf196d68b22`. [Task 1]\n- Guard wages require one DFAS pool: $14,156.11 allocated across 23/36 duty days, with $9,044 to Massachusetts and $94,839 outside Massachusetts, and no residual duplicate Other-wages table. Massachusetts may source ordinary nonresident work performed there while qualifying active-duty pay is separate; DFAS withholding follows state of legal residence and may not match work-location liability. [Task 1]\n- Modeled handoff amounts: federal $28 refund ($29 account control after separate IRS payment); selected native Massachusetts result $424 income tax + $19 M-2210 penalty = $443 base, while the documented statutory interpretation is $426/$445; California $1,067 due before late charges, contingent on paying eligible MA income tax for the $300 other-state credit. October 15 figures are planning estimates, not assessments. [Task 1]\n- TurboTax remained at refund/payment choices. The user still needs to review forms, choose refund/payment methods, accept agreements, sign, file, pay state balances, and verify acceptance. [Task 1]\n\n## Failures and how to do differently\n\n- symptom: native software output is presented as legally definitive -> fix: preserve both Massachusetts methods because TurboTax used a different gross-income d\n[... 506 characters cut ...]"},{"i":18,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'sed -n \\\"/\"'^## C'\"\\\\./,/\"'^## D'\"\\\\./p\\\" /home/keith/gemma-v2/tii-wsp31-doc/reports/2026-11-12-weight-editing-survey.md; cat /home/keith/gemma-v2/wsp31/tools/ARCH.md; cat /home/keith/gemma-v2/wsp31/queue/config.json; ls -lh /home/keith/gemma-v2/wsp31/queue/champion.json; cat /home/keith/gemma-v2/wsp31/tools/causal.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":19,"kind":"output","long":true,"text":" succeeded in 515ms:\nsed: -e expression #1, char 4: unterminated address regex\n# Gemma 4 31B (QAT w4a16) architecture, as served\n\nSource: `config.json` and the safetensors header of `/home/keith/gemma-v2/models/gemma-4-31b-it-qat-w4a16-ct`\n(one file, 23.27 GB, 2009 tensors) and the vLLM 0.19.1 model code that serves it\n(`vllm/model_executor/models/gemma4.py`). The lane's forward pass `g31.py` implements exactly this graph; its\nagreement with the server is measured in `REPORT.md`.\n\n## Sizes\n\n| item | value |\n|---|---|\n| layers | 60 |\n| residual width d | 5376 |\n| MLP width | 21504 neurons per layer (4 d), gated: `gelu_tanh(gate . x) * (up . x)` |\n| attention heads | 32 query heads per layer |\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[... 312 lines cut ...]\n if a.out:\n json.dump(r, open(a.out, \"w\"), indent=1)\n\n\nif __name__ == \"__main__\":\n main()\n\n**Handling remote script execution**"},{"i":20,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'grep -n \\\"\"'^## \" /home/keith/gemma-v2/tii-wsp31-doc/reports/2026-11-12-weight-editing-survey.md; sed -n 115,245p /home/keith/gemma-v2/tii-wsp31-doc/reports/2026-11-12-weight-editing-survey.md; sed -n 1,250p /home/keith/gemma-v2/wsp31/tools/edits.py; sed -n 1,180p /home/keith/gemma-v2/wsp31/tools/g31.py'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":21,"kind":"output","long":true,"text":" succeeded in 352ms:\n7:## A. Executive summary\n26:## B. Annotated bibliography by thread\n28:### Thread 1: LLM- or agent-authored weight edits, WSP, self-modification, hypernetworks\n52:### Thread 2: Baking activation steering into weights\n85:### Thread 3: Knowledge and model editing\n98:### Thread 4: Task arithmetic, merging, training-free transfer\n121:### Thread 5: Weight-space interpretability and interpretability agents\n148:### Thread 6: Training-free gains on agentic, coding and tool-use tasks\n162:### Thread 7: Tooling (see section D for recommendations)\n175:### Thread 8: Evaluation practice\n190:## C. Ranked edit ideas for raising a Gemma 4 31B coding agent's held-out solve rate (no training)\n224:## D. Tooling recommendations for the LLM-author harness\n241:## E. Gaps, open questions, and inaccessible sources\n| BiCo, Son et al. | 27 May 2026 | https://arxiv.org/abs/2605.28444 | Bilinear (activation \u00d7 gradient) Procrustes from one forward-backward pass | Beats other transfer methods across width, depth, pretraining (abstract gives no numbers) | Same |\n| Selective-RL, Ji et al. | 6 Oct 2026 | https://arxiv.org/abs/2610.08659 | Keep dominant per-matrix directions of the RL update; Frobenius-match magnitude | 12 of 15 wins over full-update interpolation; MathVision +8.55 pp; magnitude-only and random low-rank controls fail | **Spectrally filter any donor delta** (idea 4) |\n| Long-to-short merging, Wu et al. | Mar 2025 | https://arxiv.org/abs/2503.20641 | Task arithmetic, TIES, SVD and activation merges of System-1 and System-2 models | Up to 55% shorter at equal or better accuracy; efficacy correlates with scale (1.5\u201332B) | Overthinking fix if a short donor exists |\n| Evo-L2S, Iacobelli et al. (COLM 2026) | 7 Apr 2026 | https://arxiv.org/abs/2604.06465 | Multi-objective evolutionary merging (accuracy vs length) | Over 50% shorter at 1.5B/7B; steeper Pareto front at 14B | Multi-objective search template |\n| Community Gemma-4-31B-it agent LoRAs (e.g., autotrust/gemma4-31B-Fable-5-Distilled, r=16) | 2026 | https://huggingface.co/autotrust/gemma4-31B-Fable-5-Distilled | LoRA SFT on distilled agentic-coding traces | Self-reported HumanEval 92.7 vs 76.8. **UNVERIFIED**; card details not opened | Possible donors. Check licence, contamination and quality |\n\n[... 511 lines cut ...]\n if (l, mod) in self.override:\n return self.override[(l, mod)]\n return self.base_weight(l, mod)\n\n def eff_weight(self, l, mod):\n \"\"\"Base weight plus the attached adapter's delta, fp32 [out, in] (for weight views, not the forward).\"\"\"\n\n**Reviewing timing details**"},{"i":22,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'sed -n 210,223p /home/keith/gemma-v2/tii-wsp31-doc/reports/2026-11-12-weight-editing-survey.md; sed -n 1,220p /home/keith/gemma-v2/wsp31/tools/netops.py; cat /home/keith/gemma-v2/wsp31/tools/REPORT.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":23,"kind":"output","long":true,"text":" succeeded in 294ms:\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n| 17 | **Causal head zero/scale search** under a budget | 2611.09382 (GPQA +4.42 at 0.8B from one head) | Dev tasks | High variance and path-dependent; multiple-comparison trap |\n| 18 | **Singular-value rescaling search** on selected matrices (black-box) | Transformer\u00b2 (SVF learned by RL) | SVDs; dev tasks | High overfit risk |\n| 19 | **Long-trajectory persona and coherence capping** (gated-neuron approximation of activation capping) | Assistant Axis | Persona-axis estimate; long-context traces | Low benefit expected for solve rate; possibly helps very long episodes |\n| 20 | **Hypernetwork skill-to-LoRA** (an author LLM writes skill text, a hypernetwork emits the LoRA) | Parametric Skills, LatentSkill, T2L | A trained Gemma-4-31B hypernetwork (none exists) | Not training-free for you. Parked |\n\nGeneral cautions for all of these:\n- Embedded steering can partially revert under later fine-tuning.\n- Narrow vectors can induce broad misalignment, so run a side-effect and safety battery on every edit.\n- Sub-1% weight changes can be swallowed by FP8 or Q4 serving. Concept Country only evaluated Q8, and \"Path Not Taken\" notes precision hides small updates. Keep the adapter in bf16 at serve time, or verify the effect after quantisation.\n\n---\n\n\"\"\"netops.py: network-wide operations of EditSet (edits.py), for edits of the size real training makes: many layers,\nreaders and writers, a few directions per matrix, 0.3% to 3% of the whole network. CPU only. Use through EditSet:\n\n e = EditSet()\n e.write_dir(range(60), D, alpha=1.0) # every o_proj and down_proj: dW = alpha * P W (P projects on D)\n[... 430 lines cut ...]\nHOLD=1680 flock $R/wsp31/gpu0.lock ./sessC.sh r32:8 r64:8 r128:8 # 4e stale2, 5.1\n$PY requant_cost.py # 5.2, CPU\n```\n\n**Preparing data capture strategy**\n**Analyzing projection methods for writer outputs**\n\nI\u2019m exploring ways to capture and compare writer outputs by projecting attention and MLP raw outputs at specific positions, focusing on contrasting early versus late states. I want to handle mean components properly, track variance on test tasks, and test amplification effects with various training doses to understand the impact on the network\u2019s behavior."},{"i":24,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'sed -n 300,430p /home/keith/gemma-v2/wsp31/tools/g31.py; sed -n 1,130p /home/keith/gemma-v2/wsp31/tools/probeset.py; sed -n 1,90p /home/keith/gemma-v2/wsp31/tools/train_size.py; sed -n 201,212p /home/keith/gemma-v2/tii-wsp31-doc/reports/2026-11-12-weight-editing-survey.md; ls /home/keith/gemma-v2/wsp31/authors/gpt'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":25,"kind":"output","long":true,"text":" succeeded in 257ms:\n caps = {c: [] for c in capture}\n hooks = hooks or {}\n\n def tap(name, l, x):\n if (name, l) in hooks:\n x = hooks[(name, l)](x)\n if name in capture and l in cap_layers:\n caps[name].append(x[cap_pos_t].float().cpu())\n return x\n\n h = self.emb[ids] * self.normalizer\n if not self.mirror:\n h = self.emb[ids].float() * self.normalizer.float()\n for l in sorted(self.L):\n d, g = self.L[l], self.arch.geom(l)\n m = self.mirror\n wt = (lambda k: d[k]) if m else (lambda k: d[k].float())\n h = tap(\"resid_pre\", l, h)\n x = self.rms(h, wt(\"input_layernorm\"))\n[... 293 lines cut ...]\n[line removed by the dashboard scrubber]\n| 17 | **Causal head zero/scale search** under a budget | 2611.09382 (GPQA +4.42 at 0.8B from one head) | Dev tasks | High variance and path-dependent; multiple-comparison trap |\nNOTES.md\ncode\nqueue\nscratch\n\n**Preparing data capture and selection**"},{"i":26,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'sed -n 1,190p /home/keith/gemma-v2/wsp31/tools/reqset.py; sed -n 275,306p /home/keith/gemma-v2/wsp31/tools/g31.py; cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/ledger/0008-claude-deep-thought-gate-g3-b03.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":27,"kind":"output","long":true,"text":" succeeded in 288ms:\n#!/usr/bin/env python\n\"\"\"reqset.py OUT.jsonl [--runs RUN_DIR,...] [--max-len 16000] [--limit N]: build a probe set from the request logs\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\nRUN_DIR/rebench/shard0_gpu0/task_results.jsonl, `ids` is the prompt of the last model call followed by its\ncompletion, where \"last\" is the last call of the longest run from the start in which every prompt extends the one\nbefore (the harness rewrites history in some long episodes; such an episode is cut there, and `calls_total` gives\nthe number of calls it really had). Output: the probeset.py format (one line per episode: trace, run, instance, resolved, n, ids,\npoints:[{pos, kind, turn, next, exact}]) plus `calls`: one entry per logged model call {start, comp, lp}: the call's\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\nwhere the harness has re-rendered the agent's earlier output as history (a newline is added before and\ntool arguments are re-serialised), so the context is what the model reads back, not literally what it had generated\nwhen it made that choice. Default RUN_DIR: results/wsp31/base/s1_base (tasks of wsp31_screen_v1). Refuses any path\nthat names a sealed set.\"\"\"\nimport argparse\nimport json\nimport os\n[... 382 lines cut ...]\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+export WSP31_WORK=$R/wsp31/authors/gpt/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8\n+export PYTHONDONTWRITEBYTECODE=1\n+date -Is\n+$PY $R/wsp31/authors/gpt/code/author_capture.py capture\n+date -Is"},{"i":28,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp author_capture.py capture_job.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":29,"kind":"output","long":false,"text":" succeeded in 403ms:"},{"i":30,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'mkdir -p /home/keith/gemma-v2/wsp31/authors/gpt/code/data /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs; PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/reqset.py /home/keith/gemma-v2/wsp31/authors/gpt/code/data/snapshot.jsonl --runs /home/keith/gemma-v2/results/wsp31/batches/b001/base,/home/keith/gemma-v2/results/wsp31/batches/b001/aa,/home/keith/gemma-v2/results/wsp31/batches/b001/zero; PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/author_capture.py prepare'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":31,"kind":"output","long":true,"text":" succeeded in 6721ms:\n[line removed by the dashboard scrubber]\nepisodes 43 fit 32\n\ndiff --git a/author_capture.py b/author_capture.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0435fa6792dc75e6d5c1ba8f68c77632c6f45a69\n--- /dev/null\n+++ b/author_capture.py\n@@ -0,0 +1,67 @@\n+import os, sys, json, hashlib, time\n+from pathlib import Path\n+import torch\n+T='/home/keith/gemma-v2/wsp31/tools'\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')\n+sys.path.insert(0,T)\n+import g31\n+torch.set_num_threads(8)\n+\n+def spread(xs,n):\n[... 66 lines cut ...]\n+export WSP31_WORK=$R/wsp31/authors/gpt/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8\n+export PYTHONDONTWRITEBYTECODE=1\n+date -Is\n+$PY $R/wsp31/authors/gpt/code/author_capture.py capture\n+date -Is\n\n**Managing task timing and resource setup**"},{"i":32,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup flock /home/keith/gemma-v2/wsp31/gpu0.lock timeout 900 bash /home/keith/gemma-v2/wsp31/authors/gpt/code/capture_job.sh > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":33,"kind":"output","long":false,"text":" succeeded in 299ms:\n555524"},{"i":34,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/ledger/0009-claude-end-neurons-x25.md; sed -n 20,105p /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/ledger/0007-claude-deep-gate-b01-end-neurons-x9.md; sed -n 105,185p /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31/ledger/0007-claude-deep-gate-b01-end-neurons-x9.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":35,"kind":"output","long":true,"text":" succeeded in 264ms:\n---\nid: 0009\ndate: 2026-11-12\nauthor: claude\ntrack: edit\n[line removed by the dashboard scrubber]\nstatus: queued\nset: wsp31_screen_v1\nbatch: -\nverdict: -\nresult: -\n---\n\n## Hypothesis\n\nIn the unedited batch b001 (three identical arms, 61 episodes finished when read) 14 of the 28 failures end at the\n7.5-minute session limit, at least 10 of them with an empty patch and 8 of those without a single file edit (at 110\nepisodes, 9:40 PM ET: solved 44%, at the limit 35%, empty patch 25%). At about\n[line removed by the dashboard scrubber]\n[... 347 lines cut ...]\n+export WSP31_WORK=$R/wsp31/authors/gpt/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8\n+export PYTHONDONTWRITEBYTECODE=1\n+date -Is\n+$PY $R/wsp31/authors/gpt/code/author_capture.py capture\n+date -Is\n\n**Reviewing failure traces**"},{"i":36,"kind":"assistant","long":true,"text":"The screening snapshot has 43 distinct tasks. I\u2019ve split them by task: 32 for estimating directions and 11 for pre-tests. The GPU capture will measure what each attention and MLP writer emits early in a thought, late in a thought, and at its end.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\NOTES.md\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\inspect_screen.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,11 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space projections. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means, remove their shared mean component, then contract the late direction or amplify the close direction. Both o_proj and down_proj at all 60 layers give 120 matrices; at least one entry must exceed 0.3% whole-network movement. Matched random orthogonal projection controls use the same construction and per-matrix norms.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. Capture job requested GPU0 lock for at most 900 seconds, log scratch/logs/capture.log. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n+Next: fit directions on capture.pt, build dose ladder, pre-test edit and control, finish and READY entries one at a time. No queue entry is ready yet.\ndiff --git a/author_capture.py b/author_capture.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0435fa6792dc75e6d5c1ba8f68c77632c6f45a69\n--- /dev/null\n+++ b/author_capture.py\n@@ -0,0 +1,67 @@\n+import os, sys, json, hashlib, time\n+from pathlib import Path\n+import torch\n+T='/home/keith/gemma-v2/wsp31/tools'\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')\n+sys.path.insert(0,T)\n+import g31\n+torch.set_num_threads(8)\n+\n+def spread(xs,n):\n+ return xs if len(xs)<=n else [xs[round(i*(len(xs)-1)/(n-1))] for i in range(n)]\n+\n+def classes(r,limit=11000,n=64):\n+ ids=r['ids'][:limit]; groups={k:[] for k in ['early','late','end','non','think','tool']}\n+ depth=None\n+ for p,t in enumerate(ids[:-1]):\n+ if t==100: depth=0\n+ elif t==101: depth=None\n+ elif depth is not None: depth+=1\n+ if depth is not None and ids[p+1]==101: groups['end'].append(p)\n+ elif depth is not None and 50<=depth<250: groups['early'].append(p)\n+ elif depth is not None and depth>=800: groups['late'].append(p)\n+ elif depth is None and p>1500 and t not in [100,101,48,49,50,51,105,106]: groups['non'].append(p)\n+ for pt in r['points']:\n+ if pt['kind'] in ('think','tool') and pt['pos']thought\nWait, I see something interesting in `_merge_original_parts`.\n\n```python\ndef _merge_original_parts(parts):\n \"\"\"Merge adjacent string parts in the array while preserving None and True values.\"\"\"\n if not parts:\n return []\n \n result = []\n current_text = None\n \n for part in parts:\n if isinstance(part, str):\n # If we have a string part\n if current_text is None:\n # Start a new text segment\n[... 211 lines cut ...]\n+ print('MIDDLE',tok.decode(r['ids'][s+800:s+1000]))\n+ print('END',tok.decode(r['ids'][e-150:e]))\n+ if sum(1 for _ in [])==1:break\n+ # two failure traces suffice for a qualitative check\n+ globals()['shown']=globals().get('shown',0)+1\n+ if shown==2:break\n\n**Waiting for GPU availability**"},{"i":43,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'lslocks -o COMMAND,PID,PATH; tail -n 4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log; sed -n 1,110p /home/keith/gemma-v2/wsp31/tools/adapters.py; sed -n 1,160p /home/keith/gemma-v2/wsp31/tools/plib.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":44,"kind":"output","long":true,"text":" succeeded in 259ms:\nCOMMAND PID PATH\npython3 2809 /run/snapd/ns...\nRunner.Listener 4473 /runner/_diag/Runner_20261112-225725-utc.log\ncontainerd 3053 /run/snapd/ns...\ndockerd 3797 /...\nsnapd 2741 /...\ndockerd 3797 /...\nflock 555524 /home/keith/gemma-v2/wsp31/gpu0.lock\nflock 502650 /home/keith/gemma-v2/wsp31/gpu0.lock\nflock 394515 /home/keith/gemma-v2/wsp31/gpu0.lock\ncontainerd 3053 /...\npipewire 3157 /run/user/1000/pipewire-0.lock\npipewire 3157 /run/user/1000/pipewire-0-manager.lock\ndockerd 3797 /...\ncontainerd 3053 /...\nnvidia-persiste 2736 /run/snapd/ns...\ncron 2742 /run/snapd/ns...\ndockerd 3797 /...\ndockerd 3797 /...\n[... 564 lines cut ...]\n+ a=causal.parser().parse_args(['--adapter',str(d),'--probeset',str(A/'code/data/check.jsonl'),'--traces',str(args.traces),'--per-trace','4','--max-pos',str(args.max_pos)])\n+ r=causal.run(a,m=m);r['verdict']=plib.verdict(r['summary']);json.dump(r,open(d.parent/(d.name+'_causal.json'),'w'),indent=2)\n+ print(str(d),'CAUSAL',json.dumps(r['summary']),r['verdict'],flush=True)\n+ r=target(m,str(d),limit=args.max_pos,traces=args.traces)\n+ json.dump(r,open(d.parent/(d.name+'_target.json'),'w'),indent=2)\n+ print(str(d),'TARGET',json.dumps(r['summary']),flush=True)\n+\n+if __name__=='__main__':main()"},{"i":45,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp build_project.py probe_project.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":46,"kind":"output","long":true,"text":" succeeded in 313ms:\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,11 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space projections. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means, remove their shared mean component, then contract the late direction or amplify the close direction. Both o_proj and down_proj at all 60 layers give 120 matrices; at least one entry must exceed 0.3% whole-network movement. Matched random orthogonal projection controls use the same construction and per-matrix norms.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. Capture job requested GPU0 lock for at most 900 seconds, log scratch/logs/capture.log. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n+Next: fit directions on capture.pt, build dose ladder, pre-test edit and control, finish and READY entries one at a time. No queue entry is ready yet.\ndiff --git a/author_capture.py b/author_capture.py\nnew file mode 100644\n[... 243 lines cut ...]\n+ print(str(d),'TARGET',json.dumps(r['summary']),flush=True)\n+\n+if __name__=='__main__':main()\n\n**Managing CPU and GPU synchronization**\n**Ensuring reproducible builds and tool versioning**\n\nI\u2019m planning to freeze and vendor needed tools and code to maintain exact reproducibility, tracking source snapshots and hashes to prevent drift, while also managing numerical norms and deterministic scaling to keep results consistent within tight tolerances."},{"i":47,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log; ps -o pid,etime,comm -p 394515,502650,555524; lslocks -o PID,MODE,PATH | tail -n 16; sed -n 1,80p /home/keith/gemma-v2/wsp31/tools/fastprobe.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":48,"kind":"output","long":true,"text":" succeeded in 310ms:\n PID ELAPSED COMMAND\n 394515 43:19 flock\n 502650 13:37 flock\n 555524 02:13 flock\n 3797 WRITE /...\n 2741 WRITE /...\n 3797 WRITE /...\n555524 WRITE* /home/keith/gemma-v2/wsp31/gpu0.lock\n502650 WRITE* /home/keith/gemma-v2/wsp31/gpu0.lock\n394515 WRITE /home/keith/gemma-v2/wsp31/gpu0.lock\n 3053 WRITE /...\n 3157 WRITE /run/user/1000/pipewire-0.lock\n 3157 WRITE /run/user/1000/pipewire-0-manager.lock\n 3797 WRITE /...\n 3053 WRITE /...\n 2736 WRITE /run/snapd/ns...\n 2742 WRITE /run/snapd/ns...\n 3797 WRITE /...\n 3797 WRITE /...\n[... 342 lines cut ...]\n+ r=target(m,str(d),limit=args.max_pos,traces=args.traces)\n+ json.dump(r,open(d.parent/(d.name+'_target.json'),'w'),indent=2)\n+ print(str(d),'TARGET',json.dumps(r['summary']),flush=True)\n+\n+if __name__=='__main__':main()\n\n**Analyzing job wait and process details**\n**Evaluating projection techniques**"},{"i":49,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\after_capture.sh\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\build_project.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\probe_job.sh\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\scale_project.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,11 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space projections. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means, remove their shared mean component, then contract the late direction or amplify the close direction. Both o_proj and down_proj at all 60 layers give 120 matrices; at least one entry must exceed 0.3% whole-network movement. Matched random orthogonal projection controls use the same construction and per-matrix norms.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. Capture job requested GPU0 lock for at most 900 seconds, log scratch/logs/capture.log. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n+Next: fit directions on capture.pt, build dose ladder, pre-test edit and control, finish and READY entries one at a time. No queue entry is ready yet.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/author_capture.py b/author_capture.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0435fa6792dc75e6d5c1ba8f68c77632c6f45a69\n--- /dev/null\n+++ b/author_capture.py\n@@ -0,0 +1,67 @@\n+import os, sys, json, hashlib, time\n+from pathlib import Path\n+import torch\n+T='/home/keith/gemma-v2/wsp31/tools'\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')\n+sys.path.insert(0,T)\n+import g31\n+torch.set_num_threads(8)\n+\n+def spread(xs,n):\n+ return xs if len(xs)<=n else [xs[round(i*(len(xs)-1)/(n-1))] for i in range(n)]\n+\n+def classes(r,limit=11000,n=64):\n+ ids=r['ids'][:limit]; groups={k:[] for k in ['early','late','end','non','think','tool']}\n+ depth=None\n+ for p,t in enumerate(ids[:-1]):\n+ if t==100: depth=0\n+ elif t==101: depth=None\n+ elif depth is not None: depth+=1\n+ if depth is not None and ids[p+1]==101: groups['end'].append(p)\n+ \n[... 13334 characters cut ...]"},{"i":50,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp build_project.py scale_project.py after_capture.sh probe_job.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":51,"kind":"output","long":false,"text":" succeeded in 675ms:"},{"i":52,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup timeout 4000 bash /home/keith/gemma-v2/wsp31/authors/gpt/code/after_capture.sh > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/build-probe.log 2>&1 < /dev/null & echo \"'$!; ps -o pid,etime,args --ppid 394515; tail -n 2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":53,"kind":"output","long":true,"text":" succeeded in 742ms:\n568681\n PID ELAPSED COMMAND\n 505420 13:13 timeout 1740 ./job3.sh\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,11 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space projections. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means, remove their shared mean component, then contract the late direction or amplify the close direction. Both o_proj and down_proj at all 60 layers give 120 matrices; at least one entry must exceed 0.3% whole-network movement. Matched random orthogonal projection controls use the same construction and per-matrix norms.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. Capture job requested GPU0 lock for at most 900 seconds, log scratch/logs/capture.log. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n[... 310 lines cut ...]\n+torch.set_num_threads(8)\n+src,out,dose=sys.argv[1:];dose=float(dose)\n+for arm in ['edit','ctrl']:\n+ e=EditSet();e.load(str(Path(src)/arm));e.scale_to(net_rel=dose)\n+ e.save(str(Path(out)/arm),note={'source':src,'target_net_rel':dose,'scaled_stored_factors':True})\n+print('SCALED',src,out,dose)\n\n**Inspecting tool process status**"},{"i":54,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ps -o pid,etime,args -p 502650; ls -lh /home/keith/gemma-v2/wsp31/tools/TOOLS.md; sed -n 1,12p /home/keith/gemma-v2/wsp31/queue/STATUS.md; find /home/keith/gemma-v2/wsp31/authors/gpt -maxdepth 2 -type f'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":55,"kind":"output","long":true,"text":" succeeded in 246ms:\n PID ELAPSED COMMAND\n 502650 14:32 flock /home/keith/gemma-v2/wsp31/gpu0.lock ./sessE.sh\n-rw-r--r-- 1 keith keith 20K Nov 12 20:35 /home/keith/gemma-v2/wsp31/tools/TOOLS.md\n# wsp31 queue status (2026-11-12 21:50:17 EST)\n\nRule: not fixed yet (waits for the unedited baseline, ledger record 0001)\n\n## Batches\n\n| batch | stage | gpu | state | arms | rows | note |\n|---|---|---|---|---|---|---|\n| b001 | s1 | 1 | running | base aa zero | 127 | |\n\n## Edits\n\n/home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md\n/home/keith/gemma-v2/wsp31/authors/gpt/code/author_capture.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/build_project.py\n/home/keith/gemma-v2/wsp31/authors/gpt/code/probe_job.sh\n[... 332 lines cut ...]\n+torch.set_num_threads(8)\n+src,out,dose=sys.argv[1:];dose=float(dose)\n+for arm in ['edit','ctrl']:\n+ e=EditSet();e.load(str(Path(src)/arm));e.scale_to(net_rel=dose)\n+ e.save(str(Path(out)/arm),note={'source':src,'target_net_rel':dose,'scaled_stored_factors':True})\n+print('SCALED',src,out,dose)\n\n**Reviewing tool versions and snapshots**"},{"i":56,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -n 95 /home/keith/gemma-v2/wsp31/tools/TOOLS.md; sed -n 1,95p /home/keith/gemma-v2/wsp31/tools/wlib.py; cat /home/keith/gemma-v2/wsp31/tools/sessE.sh; cat /home/keith/gemma-v2/wsp31/authors/gpt/.turn_start'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":57,"kind":"output","long":true,"text":" succeeded in 238ms:\n flock $R/wsp31/gpu0.lock timeout 1500 $PY $T/causal.py --adapter queue/my-slug/edit --out probe_edit.json\n # checker + probe + verdict (FAIL / NO-OP / BROKEN / ACTIVE); writes DIR/validate.json; add --port inside a session:\n flock $R/wsp31/gpu0.lock timeout 1500 $PY $T/validate.py queue/my-slug/edit\n\nAll three use the labelled decision points of `data/probe_screen.jsonl` (section 5; options `--traces 12\n--per-trace 8 --max-pos 8000 --kinds turn,step,think,tool`) and report, per kind of point: mean change of the\n[line removed by the dashboard scrubber]\nand the probability mass on `<|channel>` (think), `<|tool_call>` and ``. `causal.py` also takes hook\ninterventions instead of an adapter, to test a mechanism before building the edit: `--ablate L:J,...`,\n[line removed by the dashboard scrubber]\nRun several edits in one session: put the commands in a script and pass the script as CMD. ACTIVE means \"moves the\ndistribution without wrecking it\", not \"better\": only rollouts measure task success.\nThe times are estimates until the first runs finish. The causal base cache is about 1 MB per point\n(`$WSP31_WORK/data/cache`): delete it when done.\n\nWeight views (CPU, base model, all run as written today):\n\n[line removed by the dashboard scrubber]\n $PY $T/wv_neuron.py 40 1234 [--layers 38-42] # 6 s: norms, write lens, read lens, nearest neurons\n[... 838 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":58,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp author_capture.py snapshot_tools.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":59,"kind":"output","long":false,"text":" succeeded in 395ms:"},{"i":60,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'bash /home/keith/gemma-v2/wsp31/authors/gpt/code/snapshot_tools.sh; tail -n 2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log; sed -n 1,100p /home/keith/gemma-v2/wsp31/tools/causal.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":61,"kind":"output","long":true,"text":" succeeded in 418ms:\n#!/usr/bin/env python\n[line removed by the dashboard scrubber]\n--project-out] [--traces 12] [--per-trace 8] [--max-pos 8000] [--kinds turn,step,think,tool] [--out FILE.json]:\ncausal check without a server (GPU0 through this lane's exact forward pass, run under the gpu0 lock; about 1 minute\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\nprobability mass on <|channel> (think), <|tool_call> and (and on the six tool names at tool points), and\n[line removed by the dashboard scrubber]\nexactly as the server would apply it (the offline form of the fast probe); --overlay does the same for a checkpoint\noverlay directory built with overlay.py; --ablate zeroes neuron activations;\n--scale multiplies them; --dir adds alpha * |h| * unit(v) to the residual stream after the given layer(s) at every\nposition except BOS (v from a .pt file, e.g. one saved by av_contrast.py), or with --project-out removes the\ncomponent along v instead. The same interventions run on the model with the adapter applied if both are given.\n--champion current|DIR (or WSP31_CHAMPION): the reference arm is the model with the champion adapter and every\nintervention is applied on top of it (an --adapter as the exact sum champion + adapter).\n\"\"\"\nimport argparse\nimport hashlib\n[... 423 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Importing new champ dependencies**"},{"i":62,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/tools/champ.py; head -n 50 /home/keith/gemma-v2/wsp31/tools/stack_exact.py; sed -n 1,30p /home/keith/gemma-v2/wsp31/tools/TOOLS.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":63,"kind":"output","long":true,"text":" succeeded in 229ms:\n#!/usr/bin/env python\n\"\"\"champ.py info | path | maxrank [--champion current|DIR] | stack EDIT_DIR [--champion current|DIR] [--out DIR]\nThe champion is the adapter that holds every promoted edit (wsp31/queue/champion.json, written by the runner; this\ntool only reads it). While one exists the runner serves the reference arm as the champion and every edit and control\nas champion + entry, stacked exactly by stack_exact.py. This file gives the pre-test tools the same view:\n`info` prints the current generation, its adapter and rank; `path` the champion directory (or none); `maxrank` prints the --max-lora-rank a server needs for\nchampion + a rank-32 entry (what gpu0_session.sh --champion sets); `stack` writes champion + EDIT_DIR with the\nrunner's own stack_exact.py (cached by content under $WSP31_WORK/data/champ) and prints the directory.\nAs a library: resolve(arg) -> champion directory or None (\"current\" reads the runner's file; None, \"none\" and\ngeneration 0 mean the unedited model), stacked(champion, edit) -> directory to serve, serve_ref(port, champion) ->\nmodel name of the reference arm (\"base\", or the champion loaded under a content-hash name). CPU only except\nserve_ref. A champion named in the environment variable WSP31_CHAMPION is the default of every --champion option.\"\"\"\nimport hashlib\nimport json\nimport os\nimport shutil\nimport subprocess\nimport sys\n\n[... 946 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":64,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp author_capture.py build_project.py snapshot_tools.sh build_overlap.sh pipeline_job.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":65,"kind":"output","long":false,"text":" succeeded in 392ms:"},{"i":66,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ps -o pid,pgid,etime,args -p 555524,568681; kill -TERM 555524 568681; bash /home/keith/gemma-v2/wsp31/authors/gpt/code/snapshot_tools.sh; nohup flock /home/keith/gemma-v2/wsp31/gpu0.lock timeout 1620 bash /home/keith/gemma-v2/wsp31/authors/gpt/code/pipeline_job.sh > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":67,"kind":"output","long":true,"text":" succeeded in 264ms:\n PID PGID ELAPSED COMMAND\n 555524 555523 04:44 flock /home/keith/gemma-v2/wsp31/gpu0.lock timeout 900 bash /home/keith/gemma-v2/wsp31/authors/gpt/code/capture_job.sh\n 568681 568681 01:43 timeout 4000 bash /home/keith/gemma-v2/wsp31/authors/gpt/code/after_capture.sh\n572224\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,11 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space projections. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means, remove their shared mean component, then contract the late direction or amplify the close direction. Both o_proj and down_proj at all 60 layers give 120 matrices; at least one entry must exceed 0.3% whole-network movement. Matched random orthogonal projection controls use the same construction and per-matrix norms.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. Capture job requested GPU0 lock for at most 900 seconds, log scratch/logs/capture.log. No server or agent rollouts started. No trained adapter directions used.\n+\n[... 377 lines cut ...]\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Managing model snapshot saving**\n**Reviewing model testing and data validation**\n**Clarifying build and scaling details**\n**Ensuring reproducible scaling and testing**\n\nI\u2019m focusing on making tensor operations deterministic across CPUs with numpy and torchBLAS, setting up a build queue with pretests and artifact checks. I\u2019m tracking predictions and uncertainties carefully, preparing configurations to finalize builds and readiness checks before rollout."},{"i":68,"kind":"assistant","long":true,"text":"The three candidate families are: suppress late-thought writes, amplify natural end-of-thought writes, and shift typical thought writes toward the end state. Each changes 120 matrices at rank 1. I\u2019ve prepared three doses and matched controls, and saved copies of the tool code so later changes will not alter the rebuild.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\author_capture.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\build_project.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\finalize_entry.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\scale_project.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,11 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space projections. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means, remove their shared mean component, then contract the late direction or amplify the close direction. Both o_proj and down_proj at all 60 layers give 120 matrices; at least one entry must exceed 0.3% whole-network movement. Matched random orthogonal projection controls use the same construction and per-matrix norms.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. Capture job requested GPU0 lock for at most 900 seconds, log scratch/logs/capture.log. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n+Next: fit directions on capture.pt, build dose ladder, pre-test edit and control, finish and READY entries one at a time. No queue entry is ready yet.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/author_capture.py b/author_capture.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..fc4686d5100734a0083809b52c9fa9705adc08ce\n--- /dev/null\n+++ b/author_capture.py\n@@ -0,0 +1,70 @@\n+import os, sys, json, hashlib, time\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')\n+T=str(A/'code/tool_snapshot')\n+sys.path.insert(0,T)\n+import g31\n+torch.set_num_threads(8)\n+\n+def spread(xs,n):\n+ return xs if len(xs)<=n else [xs[round(i*(len(xs)-1)/(n-1))] for i in range(n)]\n+\n+def classes(r,limit=11000,n=64):\n+ ids=r['ids'][:limit]; groups={k:[] for k in ['\n[... 19632 characters cut ...]"},{"i":69,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp author_capture.py scale_project.py build_project.py finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":70,"kind":"output","long":false,"text":" succeeded in 593ms:"},{"i":71,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'sed -n 85,160p /home/keith/gemma-v2/wsp31/tools/train_size.py; tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline.log; ps -o pid,etime,args --ppid 394515'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":72,"kind":"output","long":true,"text":" succeeded in 324ms:\n net = sum(v * v for v in norms.values()) ** 0.5\n res = {}\n for it in a.items:\n name, spec = it.split(\"=\", 1)\n cur, _, prev = spec.partition(\"::\")\n c = load(cur)\n p = load(prev) if prev else None\n rows, sq, wsq = [], 0.0, 0.0\n[line removed by the dashboard scrubber]\n if k not in norms:\n sys.exit(f\"{name}: no base norm for {k}\")\n fro, top, srank, prank = measure(L, R)\n rows.append(dict(mod=k, fro=fro, rel=fro / norms[k], top_rel=top / norms[k], stable_rank=srank, part_rank=prank))\n sq += fro ** 2\n wsq += norms[k] ** 2\n rows = [r for r in rows if r[\"fro\"] > 0]\n if not rows:\n sys.exit(f\"{name}: no module is changed\")\n rel = [r[\"rel\"] for r in rows]\n[... 938 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":73,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp probe_project.py probe_job.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":74,"kind":"output","long":false,"text":" succeeded in 321ms:"},{"i":75,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/probe_project.py --help; tail -n 2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":76,"kind":"output","long":true,"text":" succeeded in 1027ms:\nusage: probe_project.py [-h] [--traces TRACES] [--causal]\n [--causal-traces CAUSAL_TRACES] [--max-pos MAX_POS]\n dirs [dirs ...]\n\npositional arguments:\n dirs\n\noptions:\n -h, --help show this help message and exit\n --traces TRACES\n --causal\n --causal-traces CAUSAL_TRACES\n --max-pos MAX_POS\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda\n--- /dev/null\n+++ b/NOTES.md\n[... 444 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Optimizing update frequency and waiting**"},{"i":77,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ps -o pid,etime,args --ppid 394515; tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline.log; du -sh /home/keith/gemma-v2/wsp31/authors/gpt/scratch /home/keith/gemma-v2/wsp31/authors/gpt/code'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":78,"kind":"output","long":true,"text":" succeeded in 271ms:\n PID ELAPSED COMMAND\n 505420 17:20 timeout 1740 ./job3.sh\n8.0K\t/home/keith/gemma-v2/wsp31/authors/gpt/scratch\n30M\t/home/keith/gemma-v2/wsp31/authors/gpt/code\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,11 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space projections. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means, remove their shared mean component, then contract the late direction or amplify the close direction. Both o_proj and down_proj at all 60 layers give 120 matrices; at least one entry must exceed 0.3% whole-network movement. Matched random orthogonal projection controls use the same construction and per-matrix norms.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. Capture job requested GPU0 lock for at most 900 seconds, log scratch/logs/capture.log. No server or agent rollouts started. No trained adapter directions used.\n+\n[... 436 lines cut ...]\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing capture and normalization details**\n**Documenting projection scaling and normalization**"},{"i":79,"kind":"assistant","long":true,"text":"The builders and controls are ready. The pre-tests will check changes in thought-ending probability and tool decisions, plus damage to the model\u2019s logged choices. These remain offline estimates until screening; the tool documentation still marks agreement with the served model as unverified.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\build_project.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\finish_record.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,11 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space projections. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means, remove their shared mean component, then contract the late direction or amplify the close direction. Both o_proj and down_proj at all 60 layers give 120 matrices; at least one entry must exceed 0.3% whole-network movement. Matched random orthogonal projection controls use the same construction and per-matrix norms.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. Capture job requested GPU0 lock for at most 900 seconds, log scratch/logs/capture.log. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n+Next: fit directions on capture.pt, build dose ladder, pre-test edit and control, finish and READY entries one at a time. No queue entry is ready yet.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/author_capture.py b/author_capture.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..fc4686d5100734a0083809b52c9fa9705adc08ce\n--- /dev/null\n+++ b/author_capture.py\n@@ -0,0 +1,70 @@\n+import os, sys, json, hashlib, time\n+from pathlib import Path\n+import torch\n+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')\n+T=str(A/'code/tool_snapshot')\n+sys.path.insert(0,T)\n+import g31\n+torch.set_num_threads(8)\n+\n+def spread(xs,n):\n+ return xs if len(xs)<=n else [xs[round(i*(len(xs)-1)/(n-1))] for i in range(n)]\n+\n+def classes(r,limit=11000,n=64):\n+ ids=r['ids'][:limit]; groups={k:[] for k in ['early','late','end','non','think','tool']}\n+ depth=None\n+ for p,t in enumerate(ids[:-1]):\n+ if t==100: depth=0\n+ el\n[... 28367 characters cut ...]"},{"i":80,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp build_project.py finish_record.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":81,"kind":"output","long":true,"text":" succeeded in 294ms:\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,11 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space projections. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means, remove their shared mean component, then contract the late direction or amplify the close direction. Both o_proj and down_proj at all 60 layers give 120 matrices; at least one entry must exceed 0.3% whole-network movement. Matched random orthogonal projection controls use the same construction and per-matrix norms.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. Capture job requested GPU0 lock for at most 900 seconds, log scratch/logs/capture.log. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n+Next: fit directions on capture.pt, build dose ladder, pre-test edit and control, finish and READY entries one at a time. No queue entry is ready yet.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\n[... 570 lines cut ...]\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Reviewing model loading and workflow details**\n**Confirming execution and resource handling**"},{"i":82,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'grep -n -E \\\"compile|cache|triton|tmp|open\\\\(\\\" /home/keith/gemma-v2/wsp31/authors/gpt/code/tool_snapshot/g31.py; ps -o pid,etime,args --ppid 394515; lslocks -o PID,MODE,PATH | tail -n 16'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":83,"kind":"output","long":true,"text":" exited 1 in 225ms:\n[line removed by the dashboard scrubber]\nbash: -c: line 1: `grep -n -E compile|cache|triton|tmp|open( /home/keith/gemma-v2/wsp31/authors/gpt/code/tool_snapshot/g31.py; ps -o pid,etime,args --ppid 394515; lslocks -o PID,MODE,PATH | tail -n 16'\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,11 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space projections. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means, remove their shared mean component, then contract the late direction or amplify the close direction. Both o_proj and down_proj at all 60 layers give 120 matrices; at least one entry must exceed 0.3% whole-network movement. Matched random orthogonal projection controls use the same construction and per-matrix norms.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. Capture job requested GPU0 lock for at most 900 seconds, log scratch/logs/capture.log. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[... 1175 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":84,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp pipeline_job.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":85,"kind":"output","long":false,"text":" succeeded in 346ms:"},{"i":86,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp NOTES.md wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":87,"kind":"output","long":false,"text":" succeeded in 288ms:"},{"i":88,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ps -o pid,etime,args --ppid 394515; tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":89,"kind":"output","long":true,"text":" succeeded in 250ms:\n PID ELAPSED COMMAND\n 505420 20:02 timeout 1740 ./job3.sh\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[... 1207 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":90,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp audit_snapshot.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":91,"kind":"output","long":false,"text":" succeeded in 322ms:"},{"i":92,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/audit_snapshot.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":93,"kind":"output","long":true,"text":" succeeded in 1241ms:\n[line removed by the dashboard scrubber]\nCHECK TASKS\n[task] False {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}\n[task] True {'early': 64, 'late': 64, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}\ncool-RR__PySnooper.57472b46.lm_rewrite__g0pq8oow True {'early': 64, 'late': 64, 'end': 6, 'non': 24, 'think': 6, 'tool': 6}\ngweis__isodate.17cb25eb.func_basic__ydtogylj True {'early': 64, 'late': 0, 'end': 11, 'non': 24, 'think': 11, 'tool': 11}\n[task] False {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}\n[task] False {'early': 64, 'late': 0, 'end': 17, 'non': 24, 'think': 17, 'tool': 17}\n[task] True {'early': 64, 'late': 64, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}\n[task] True {'early': 64, 'late': 64, 'end': 8, 'non': 24, 'think': 8, 'tool': 8}\n[task] True {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}\njd__tenacity.0d40e76f.combine_module__jua0momz False {'early': 64, 'late': 0, 'end': 12, 'non': 24, 'think': 12, 'tool': 12}\n[task] True {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n[... 617 lines cut ...]\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Reviewing data and IP address concerns**\n**Summarizing task preparation and execution**"},{"i":94,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\finish_record.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, choose coherent active doses, verify exact rebuild, finish and READY entries one at a time. No queue entry is ready yet. Do not queue a BROKEN arm or treat offline probe movement as solved tasks.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_snapshot.py b/audit_snapshot.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f646b7096fa0e17758bbe910be2a83e271d45195\n--- /dev/null\n+++ b/audit_snapshot.py\n@@ -0,0 +1,22 @@\n+import json,statistics\n+from author_capture import A,classes\n+rows=[json.loads(l) for l in open(A/'code/data/episodes.jsonl')]\n+out=[]\n+for r in rows:\n+ lengths=[];st=None\n+ for p,t in enumerate(r['ids']):\n+ if t==100:st=p\n+ elif t==101 and st is not None:lengths.append(p-st);st=None\n+ c=classes(r)\n+ out.append({'instance':r['instance'],'split':r['split'],'resolved':r['resolved'],'tool_calls':r['tool_calls'],\n[line removed by the dashboard scrubber]\n+ 'positions':{k:len(v) for k,v in c.items()\n[... 29794 characters cut ...]"},{"i":95,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp finish_record.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":96,"kind":"output","long":false,"text":" succeeded in 537ms:"},{"i":97,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ps -o pid,etime,args --ppid 394515; tail -n 2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline.log; ls -l /home/keith/gemma-v2/wsp31/queue/CHAMPION.md /home/keith/gemma-v2/wsp31/queue/champion.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":98,"kind":"output","long":true,"text":" exited 1 in 226ms:\n PID ELAPSED COMMAND\n 505420 21:01 timeout 1740 ./job3.sh\nls: cannot access '/home/keith/gemma-v2/wsp31/queue/CHAMPION.md': No such file or directory\nls: cannot access '/home/keith/gemma-v2/wsp31/queue/champion.json': No such file or directory\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n[... 1245 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Updating on GPU capture status**"},{"i":99,"kind":"assistant","long":false,"text":"The GPU capture is still queued behind two existing jobs. CPU preparation is complete; the remaining work is to measure the candidates, select coherent doses, and finish queue entries one at a time."},{"i":100,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline.log; ps -o pid,etime,args --ppid 394515; ps -o pid,etime,args -p 572224'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":101,"kind":"output","long":true,"text":" succeeded in 446ms:\n2026-11-12T21:59:48-05:00\n PID ELAPSED COMMAND\n PID ELAPSED COMMAND\n 572224 08:06 flock /home/keith/gemma-v2/wsp31/gpu0.lock timeout 1620 bash /home/keith/gemma-v2/wsp31/authors/gpt/code/pipeline_job.sh\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n[... 610 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Tracking job and tool status**"},{"i":102,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -n 4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log; tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/build.log; cat /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold1_start'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":103,"kind":"output","long":true,"text":" succeeded in 318ms:\n0 [task] fit {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7} seconds 10\n1794538788\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[... 608 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Tracking pipeline timing**"},{"i":104,"kind":"assistant","long":false,"text":"GPU 0 is now available, and capture has started. The CPU builders will run alongside capture of the check tasks, followed by the pre-tests in the same bounded hold.\n\n**Estimating build and test timing**\n**Evaluating author contributions**\n**Analyzing optimization and data handling**\n\n[line removed by the dashboard scrubber]"},{"i":105,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log; tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/build.log; tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":106,"kind":"output","long":true,"text":" succeeded in 292ms:\n5 gawel__pyquery.811cd048.lm_rewrite__o1v2xcun fit {'early': 64, 'late': 64, 'end': 5, 'non': 24, 'think': 5, 'tool': 5} seconds 58\n6 benoitc__gunicorn.bacbf8aa.func_basic__3napqcbj fit {'early': 64, 'late': 64, 'end': 12, 'non': 24, 'think': 12, 'tool': 12} seconds 68\n7 Mimino666__langdetect.a1598f1a.func_basic__rku38xih fit {'early': 64, 'late': 0, 'end': 5, 'non': 24, 'think': 5, 'tool': 5} seconds 77\n2026-11-12T21:59:48-05:00\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n[... 1307 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":107,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp progress.py served_body.sh served_job.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":108,"kind":"output","long":false,"text":" succeeded in 384ms:"},{"i":109,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -n 2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log; tail -n 2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/build.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":110,"kind":"output","long":true,"text":" succeeded in 249ms:\n12 Mimino666__langdetect.a1598f1a.lm_rewrite__dk9wx21q fit {'early': 64, 'late': 0, 'end': 5, 'non': 24, 'think': 5, 'tool': 5} seconds 123\n13 [task] fit {'early': 64, 'late': 64, 'end': 5, 'non': 24, 'think': 5, 'tool': 5} seconds 133\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[... 668 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Ensuring periodic user updates**"},{"i":111,"kind":"assistant","long":true,"text":"Capture is progressing at about ten seconds per task. I\u2019m also preparing a served replay check for the selected candidates, subject to the remaining GPU budget. That will check whether the saved adapters load and affect tool decisions through vLLM.\n\n**Managing timed waits and progress checks**\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, choose coherent active doses, verify exact rebuild, finish and READY entries one at a time. No queue entry is ready yet. Do not queue a BROKEN arm or treat offline probe movement as solved tasks.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_snapshot.py b/audit_snapshot.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f646b7096fa0e17758bbe910be2a83e271d45195\n--- /dev/null\n+++ b/audit_snapshot.py\n@@ -0,0 +1,22 @@\n+import json,statistics\n+from author_capture import A,classes\n+rows=[json.loads(l) for l in open(A/'code/data/episodes.jsonl')]\n+out=[]\n+for r in rows:\n+ lengths=[];st=None\n+ for p,t in enumerate(r['ids']):\n+ if t==100:st=p\n+ elif t==101 and st is not None:lengths.append(p-st);st=None\n+ c=classes(r)\n+ out.append({'instance':r['instance'],'s\n[... 32608 characters cut ...]"},{"i":112,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -n 2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log; tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/build.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":113,"kind":"output","long":true,"text":" succeeded in 238ms:\n19 [task] fit {'early': 64, 'late': 64, 'end': 6, 'non': 24, 'think': 6, 'tool': 6} seconds 193\n20 PyCQA__flake8.cf1542ce.lm_rewrite__yh5du3ns fit {'early': 64, 'late': 0, 'end': 10, 'non': 24, 'think': 10, 'tool': 10} seconds 203\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[... 668 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Noting annotation difficulty**"},{"i":114,"kind":"assistant","long":true,"text":"Capture has completed 21 of the 32 fit tasks without errors. The check tasks will supply the first evidence about whether these directions carry across tasks.\n\n[line removed by the dashboard scrubber]\n**Ensuring reproducible builds through versioning**\n**Organizing code snapshot and paths**\n\nI\u2019m figuring out how to freeze and snapshot the current codebase and data to keep files immutable during processing. I\u2019m considering adjusting all path usage to rely on dynamic Path variables instead of hardcoded strings, duplicating essential data minimally under a consistent code snapshot folder, and ensuring subsequent processing steps use this frozen snapshot without changing paths or code content.\n**Adjusting snapshot paths and build manifest**\n**Documenting reproducibility steps**\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, choose coherent active doses, verify exact rebuild, finish and READY entries one at a time. No queue entry is ready yet. Do not queue a BROKEN arm or treat offline probe movement as solved tasks.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_snapshot.py b/audit_snapshot.py\nnew file mode 100644\nindex 0000000000000000\n[... 33098 characters cut ...]"},{"i":115,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log; tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/build.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":116,"kind":"output","long":true,"text":" succeeded in 283ms:\n31 [task] fit {'early': 64, 'late': 0, 'end': 16, 'non': 24, 'think': 16, 'tool': 16} seconds 310\n32 [task] check {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7} seconds 320\n33 [task] check {'early': 64, 'late': 64, 'end': 7, 'non': 24, 'think': 7, 'tool': 7} seconds 330\nSCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-010 0.0011\nSCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-100 0.01\nbuilt close 10\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n[... 672 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Assessing build performance**"},{"i":117,"kind":"assistant","long":false,"text":"All 32 fit tasks are captured, and the first candidate and control have been built at all three doses. Capture of the 11 check tasks is underway. No queue entry is ready yet; each still needs pre-test results and the official checker.\n\n**Validating model build process**"},{"i":118,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'export PYTHONDONTWRITEBYTECODE=1 OMP_NUM_THREADS=8 MKL_NUM_THREADS=8; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/check_adapter.py /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-033/edit; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/check_adapter.py /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-033/ctrl; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/train_size.py /home/keith/gemma-v2/wsp31/authors/gpt/scratch/size-late033.json mine=/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-033/edit control=/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-033/ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":119,"kind":"output","long":true,"text":" succeeded in 3325ms:\nOK edit: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.008454 at 38.down_proj\nOK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.008452 at 38.o_proj\nmine {\"r\": 1, \"scale\": 2.0, \"changed\": 120, \"of\": 420, \"net_rel\": 0.0033, \"rel_median\": 0.00845, \"rel_min\": 0.008448, \"rel_max\": 0.008454, \"rel_max_mod\": \"38.down_proj\", \"total_rel\": 0.00845, \"total_fro\": 6.806, \"stable_rank_median\": 1.0, \"part_rank_median\": 1.0}\n by type {'down_proj': 0.00845, 'o_proj': 0.00845}\n by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]\ncontrol {\"r\": 1, \"scale\": 2.0, \"changed\": 120, \"of\": 420, \"net_rel\": 0.0033, \"rel_median\": 0.008451, \"rel_min\": 0.008449, \"rel_max\": 0.008452, \"rel_max_mod\": \"38.o_proj\", \"total_rel\": 0.00845, \"total_fro\": 6.806, \"stable_rank_median\": 1.0, \"part_rank_median\": 1.0}\n by type {'down_proj': 0.00845, 'o_proj': 0.00845}\n by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n[... 674 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing matrix fitting parameters**"},{"i":120,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/build.log; tail -n 2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log; PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":121,"kind":"output","long":true,"text":" succeeded in 1308ms:\nSCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-010 0.0011\nSCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-100 0.01\nbuilt shift 10\n35 gweis__isodate.17cb25eb.func_basic__ydtogylj check {'early': 64, 'late': 0, 'end': 11, 'non': 24, 'think': 11, 'tool': 11} seconds 351\n36 [task] check {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7} seconds 361\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\ndirection late o_proj fit 14 check 0 AUC None\ndirection late down_proj fit 14 check 0 AUC None\ndirection close o_proj fit 32 check 0 AUC None\ndirection close down_proj fit 32 check 0 AUC None\ndirection shift o_proj fit 32 check 0 AUC None\ndirection shift down_proj fit 32 check 0 AUC None\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n[... 678 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing task fit and checks**"},{"i":122,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, choose coherent active doses, verify exact rebuild, finish and READY entries one at a time. No queue entry is ready yet. Do not queue a BROKEN arm or treat offline probe movement as solved tasks.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_snapshot.py b/audit_snapshot.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f646b7096fa0e17758bbe910be2a83e271d45195\n--- /dev/null\n+++ b/audit_snapshot.py\n@@ -0,0 +1,22 @@\n+import json,statistics\n+from author_capture import A,classes\n+rows=[json.loads(l) for l in open(A/'code/data/episodes.jsonl')]\n+out=[]\n+for r in rows:\n+ lengths=[];st=None\n+ for p,t in enumerate(r['ids']):\n+ if t==100:st=p\n+ elif t==101 and st is not None:lengths.append(p-st);st=None\n+ c=classes(r)\n+ out.append({'instance':r['instance'],'split':r['split'],'resolved':r['resolved'],'tool_calls':r['tool_calls'],\n[line removed by the dashboard scrubber]\n+ 'positions':{k:len(v) for k,v in c.items()}})\n+summary={}\n[line removed by the dashboard scrubber]\n[line removed by the das\n[... 32355 characters cut ...]"},{"i":123,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/capture.log; tail -n 3 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/build.log; PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py; tail -n 2 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":124,"kind":"output","long":true,"text":" succeeded in 1005ms:\n41 jd__tenacity.0d40e76f.combine_module__jua0momz check {'early': 64, 'late': 0, 'end': 12, 'non': 24, 'think': 12, 'tool': 12} seconds 410\n42 [task] check {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7} seconds 421\nDONE 43 seconds 421\nSAVED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-033 net 0.0033000001100329393\nSCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-010 0.0011\nSCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-100 0.01\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\ndirection shift o_proj fit 32 check 11 AUC 1.0\ndirection shift down_proj fit 32 check 11 AUC 1.0\n{\"late\": {\"o_proj\": {\"fit_tasks\": 14, \"check_tasks\": 4, \"mean_auc\": 0.9447916666666667}, \"down_proj\": {\"fit_tasks\": 14, \"check_tasks\": 4, \"mean_auc\": 0.81875}}, \"close\": {\"o_proj\": {\"fit_tasks\": 32, \"check_tasks\": 11, \"mean_auc\": 1.0}, \"down_proj\": {\"fit_tasks\": 32, \"check_tasks\": 11, \"mean_auc\": 1.0}}, \"shift\": {\"o_proj\": {\"fit_tasks\": 32, \"check_tasks\": 11, \"mean_auc\": 1.0}, \"down_proj\": {\"fit_tasks\": 32, \"check_tasks\": 11, \"mean_auc\": 1.0}}}\n2026-11-12T22:06:54-05:00\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n[... 683 lines cut ...]\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing newline feature confounds**\n**Developing boundary capture script**\n**Evaluating matrix projection risks**"},{"i":125,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\n[line removed by the dashboard scrubber]\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\audit_boundary.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, choose coherent active doses, verify exact rebuild, finish and READY entries one at a time. No queue entry is ready yet. Do not queue a BROKEN arm or treat offline probe movement as solved tasks.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e7cec\n--- /dev/null\n+++ b/audit_boundary.py\n@@ -0,0 +1,10 @@\n+import json,collections,sys\n+from author_capture import A,T,classes\n+sys.path.insert(0,T)\n+import g31\n[line removed by the dashboard scrubber]\n+for r in map(json.loads,open(A/'code/data/episodes.jsonl')):\n+ for k,ps in classes(r).items():\n+ if k in counts:counts[k].update(r['ids'][p] for p in ps)\n+for k,c in counts.items():\n[line removed by the dashboard scrubber]\ndiff --git a/audit_snapshot.py b/audit_snapshot.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..\n[... 33072 characters cut ...]"},{"i":126,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp audit_boundary.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":127,"kind":"output","long":false,"text":" succeeded in 601ms:"},{"i":128,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/audit_boundary.py; PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":129,"kind":"output","long":true,"text":" succeeded in 4275ms:\nearly n 2752 [(236761, '.', 130), (107, '\\n', 118), (236779, '_', 99), (2165, '\u2581`', 98), (236929, '`', 90), (108, '\\n\\n', 53), (236764, ',', 52), (506, '\u2581the', 51)]\nlate n 1120 [(107, '\\n', 54), (2165, '\u2581`', 49), (236761, '.', 48), (236779, '_', 46), (236929, '`', 29), (236764, ',', 22), (563, '\u2581is', 19), (108, '\\n\\n', 18)]\nend n 385 [(109, '\\n\\n\\n', 151), (108, '\\n\\n', 125), (107, '\\n', 68), (110, '\\n\\n\\n\\n', 39), (111, '\\n\\n\\n\\n\\n', 2)]\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nlate-033 edit 0.0495 0.0000 - - - - -\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\ndirection shift o_proj fit 32 check 11 AUC 1.0\ndirection shift down_proj fit 32 check 11 AUC 1.0\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n[... 694 lines cut ...]\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing model end-of-sequence handling**\n[line removed by the dashboard scrubber]"},{"i":130,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'sed -n 1,140p /home/keith/gemma-v2/wsp31/authors/claude/code/think_job.py; tail -n 1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":131,"kind":"output","long":true,"text":" succeeded in 296ms:\n\"\"\"think_job.py (author claude): one GPU-0 hold. Stage A capture class means at thought positions, stage B fit gates\nand build a dose grid of adapters, stage C teacher-forced evaluation on held-out episodes (p() at every\n[line removed by the dashboard scrubber]\nUsage: think_job.py [--dry] (--dry: CPU smoke test of the builders with synthetic statistics)\n\"\"\"\nimport json\nimport os\nimport random\nimport sys\nimport time\n\nimport torch\n\nT0 = time.time()\nA_DIR = \"/home/keith/gemma-v2/wsp31/authors/claude\"\nsys.path.insert(0, \"/home/keith/gemma-v2/wsp31/tools\")\nsys.path.insert(0, A_DIR + \"/code\")\nimport thinklib as tl # noqa: E402\nfrom edits import EditSet # noqa: E402\n[... 824 lines cut ...]\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing model iteration timings and scoring**\n**Verifying model output details**"},{"i":132,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\finish_record.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, choose coherent active doses, verify exact rebuild, finish and READY entries one at a time. No queue entry is ready yet. Do not queue a BROKEN arm or treat offline probe movement as solved tasks.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e7cec\n--- /dev/null\n+++ b/audit_boundary.py\n@@ -0,0 +1,10 @@\n+import json,collections,sys\n+from author_capture import A,T,classes\n+sys.path.insert(0,T)\n+import g31\n[line removed by the dashboard scrubber]\n+for r in map(json.loads,open(A/'code/data/episodes.jsonl')):\n+ for k,ps in classes(r).items():\n+ if k in counts:counts[k].update(r['ids'][p] for p in ps)\n+for k,c in counts.items():\n[line removed by the dashboard scrubber]\ndiff --git a/audit_snapshot.py b/audit_snapshot.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..f646b7096fa0e17758bbe910be2a83e271d45195\n-\n[... 33298 characters cut ...]"},{"i":133,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp finish_record.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":134,"kind":"output","long":false,"text":" succeeded in 296ms:"},{"i":135,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":136,"kind":"output","long":true,"text":" succeeded in 993ms:\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\ndirection shift o_proj fit 32 check 11 AUC 1.0\ndirection shift down_proj fit 32 check 11 AUC 1.0\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n[... 693 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Optimizing progress report format**"},{"i":137,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'head -n 87 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-033/edit_target.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":138,"kind":"output","long":true,"text":" succeeded in 373ms:\n{\n \"summary\": {\n \"early\": {\n \"n\": 192,\n \"d_lp101\": 2.6376733208696046,\n \"d_next\": -0.00014787576785672366,\n \"p101_base\": 0.0011136960625468479,\n \"p101_edit\": 0.0006932861510382696,\n \"top_same\": 0.9895833333333334,\n \"base_close\": 0.0,\n \"edit_close\": 0.0\n },\n \"late\": {\n \"n\": 48,\n \"d_lp101\": 1.8523318096995354,\n \"d_next\": -0.011310754061877018,\n \"p101_base\": 0.0033744544368703813,\n \"p101_edit\": 0.0035292633449366564,\n \"top_same\": 1.0,\n[... 1591 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":139,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp boundary_probe.py pipeline2_job.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":140,"kind":"output","long":false,"text":" succeeded in 354ms:"},{"i":141,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":142,"kind":"output","long":true,"text":" succeeded in 1021ms:\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 - - - - -\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\ndirection shift o_proj fit 32 check 11 AUC 1.0\ndirection shift down_proj fit 32 check 11 AUC 1.0\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n[... 1614 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":143,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp served_candidates.txt wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/data/served_candidates.txt' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":144,"kind":"output","long":false,"text":" succeeded in 293ms:"},{"i":145,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup flock /home/keith/gemma-v2/wsp31/gpu0.lock timeout 1080 bash /home/keith/gemma-v2/wsp31/authors/gpt/code/pipeline2_job.sh > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline2.log 2>&1 < /dev/null & echo \"'$!'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":146,"kind":"output","long":true,"text":" succeeded in 228ms:\n661470\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,13 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. One GPU0 pipeline hold is queued, at most 1620 seconds; scratch/logs/pipeline.log, capture.log, build.log. Capture fit tasks first; CPU builders overlap check capture; forward pre-tests follow. Earlier unstarted capture-only request was cancelled. No GPU time consumed yet as of 21:56 EST. No server or agent rollouts started. No trained adapter directions used.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n[... 794 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Summarizing status update**"},{"i":147,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\NOTES.md\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, set code/data/served_candidates.txt before hold 2 begins, verify rebuild, finish and READY entries one at a time. None ready yet. Do not queue a BROKEN arm or call offline probe movement solved tasks. Preserve this turn's builders and data; queued records will hash them.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e7cec\n--- /dev/null\n+++ b/audit_boundary.py\n@@ -0,0 +1,10 @@\n+import json,collections,sys\n+from author_capture import A,T,classes\n+sys.path.insert(0,T)\n+import g31\n[line removed by the dashboard scrubber]\n+for r in map(json.loads,open(A/'code/data/episodes.jsonl')):\n+ for k,ps in classes(r).items():\n+ if k in counts:counts[k].update(r['ids'][p] for p in ps)\n+for k,c in counts.items():\n[line removed by the dashboard scrubber]\ndiff --git a/audit_snapshot\n[... 38590 characters cut ...]"},{"i":148,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp NOTES.md wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":149,"kind":"output","long":true,"text":" succeeded in 323ms:\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n[... 1613 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":150,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py; lslocks -o PID,MODE,PATH | tail -n 16'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":151,"kind":"output","long":true,"text":" succeeded in 1136ms:\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750\nclose-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\ndirection shift o_proj fit 32 check 11 AUC 1.0\ndirection shift down_proj fit 32 check 11 AUC 1.0\n 3053 WRITE /run/snapd/ns...\n 3797 WRITE /...\n661470 WRITE* /home/keith/gemma-v2/wsp31/gpu0.lock\n572224 WRITE /home/keith/gemma-v2/wsp31/gpu0.lock\n 2741 WRITE /...\n 3797 WRITE /...\n 3053 WRITE /...\n 3157 WRITE /run/user/1000/pipewire-0.lock\n[... 822 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing model prediction adjustments**"},{"i":152,"kind":"assistant","long":true,"text":"The close-direction projection behaves differently: it strengthens logged thought endings while lowering close probability inside early and late thought samples. That fits a hypothesis about making natural endings more decisive. It also changes more predictions outside thoughts, so the stronger dose needs careful checking.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\geom_summary.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, set code/data/served_candidates.txt before hold 2 begins, verify rebuild, finish and READY entries one at a time. None ready yet. Do not queue a BROKEN arm or call offline probe movement solved tasks. Preserve this turn's builders and data; queued records will hash them.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e7cec\n--- /dev/null\n+++ b/audit_boundary.py\n@@ -0,0 +1,10 @@\n+import json,collections,sys\n+from author_capture import A,T,classes\n+sys.path.insert(0,T)\n+import g31\n[line remov\n[... 39453 characters cut ...]"},{"i":153,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp geom_summary.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":154,"kind":"output","long":false,"text":" succeeded in 316ms:"},{"i":155,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/geom_summary.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":156,"kind":"output","long":true,"text":" succeeded in 1104ms:\nlate edit coeff min median max 0.08148228570283454 0.31278925415732156 0.5544792556798959 over1 0\nlate ctrl coeff min median max 0.5661683079594224 0.6206043955770293 0.6595122226335614 over1 0\nclose edit coeff min median max 0.04348718403280872 0.2479126983573802 0.4673621695319998 over1 0\nclose ctrl coeff min median max 0.5799458624348979 0.6209056368863561 0.6620933417976254 over1 0\nshift edit coeff min median max 0.03271970485534073 0.08206372436355469 0.21854524827452473 over1 0\nshift ctrl coeff min median max 0.032719705255147745 0.08206372705266882 0.2185452429832467 over1 0\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n[... 815 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing model parameter adjustments**"},{"i":157,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py; du -sh /home/keith/gemma-v2/wsp31/authors/gpt/scratch'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":158,"kind":"output","long":true,"text":" succeeded in 1006ms:\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750\nclose-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\nshift-033 edit 0.3429 0.1250 - - - - -\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\ndirection shift o_proj fit 32 check 11 AUC 1.0\ndirection shift down_proj fit 32 check 11 AUC 1.0\n141M\t/home/keith/gemma-v2/wsp31/authors/gpt/scratch\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n[... 1686 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":159,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp freeze_code.py finalize_entry.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":160,"kind":"output","long":false,"text":" succeeded in 405ms:"},{"i":161,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/freeze_code.py; PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":162,"kind":"output","long":true,"text":" succeeded in 2241ms:\nFROZEN 22 files\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750\nclose-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\nshift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438\nshift-033 ctrl 0.0915 0.0000 - - - - -\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\ndirection shift o_proj fit 32 check 11 AUC 1.0\ndirection shift down_proj fit 32 check 11 AUC 1.0\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n[... 849 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Reviewing summary details**"},{"i":163,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'head -n 76 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-033/edit_target.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":164,"kind":"output","long":true,"text":" succeeded in 257ms:\n{\n \"summary\": {\n \"early\": {\n \"n\": 192,\n \"d_lp101\": 11.004070102547606,\n \"d_next\": -0.09775296616233042,\n \"p101_base\": 0.0011136960625468479,\n \"p101_edit\": 0.009153911546494165,\n \"top_same\": 0.9479166666666666,\n \"base_close\": 0.0,\n \"edit_close\": 0.010416666666666666\n },\n \"late\": {\n \"n\": 48,\n \"d_lp101\": 10.733612932264805,\n \"d_next\": -0.09601258077702646,\n \"p101_base\": 0.0033744544368703813,\n \"p101_edit\": 0.020738721136966638,\n \"top_same\": 0.9791666666666666,\n[... 912 lines cut ...]\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing dose shift strategies**\n**Analyzing model shift and selection issues**"},{"i":165,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\served_candidates.txt\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, set code/data/served_candidates.txt before hold 2 begins, verify rebuild, finish and READY entries one at a time. None ready yet. Do not queue a BROKEN arm or call offline probe movement solved tasks. Preserve this turn's builders and data; queued records will hash them.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e7cec\n--- /dev/null\n+++ b/audit_boundary.py\n@@ -0,0 +1,10 @@\n+import json,collections,sys\n+from author_capture import A,T,classes\n+sys.path.insert(0,T)\n+import g31\n[line removed by the dashboard scrubber]\n+for r in map(json.loads,open(A/'code/data/episodes.jsonl')):\n+ for k,ps in classes(r).items():\n+ if k in counts:counts[k].update(r['ids'][p] for p in ps)\n+for k,c in counts.items():\n[line removed by the dashboard scrubber]\ndiff --git a/a\n[... 40570 characters cut ...]"},{"i":166,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp served_candidates.txt wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/data/served_candidates.txt' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":167,"kind":"output","long":false,"text":" succeeded in 337ms:"},{"i":168,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":169,"kind":"output","long":true,"text":" succeeded in 1073ms:\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750\nclose-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\nshift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438\nshift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\ndirection shift o_proj fit 32 check 11 AUC 1.0\ndirection shift down_proj fit 32 check 11 AUC 1.0\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n[... 1723 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":170,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp probe_project.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":171,"kind":"output","long":false,"text":" succeeded in 290ms:"},{"i":172,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp skip_candidates.json wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/data/skip_candidates.json' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":173,"kind":"output","long":true,"text":" succeeded in 337ms:\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n[... 845 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing timing and staging constraints**"},{"i":174,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'head -n 76 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/edit_target.json; PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":175,"kind":"output","long":true,"text":" succeeded in 987ms:\n{\n \"summary\": {\n \"early\": {\n \"n\": 192,\n \"d_lp101\": -0.9827748350799084,\n \"d_next\": -0.009292970323619679,\n \"p101_base\": 0.0011136960625468479,\n \"p101_edit\": 0.0007708983670910558,\n \"top_same\": 0.96875,\n \"base_close\": 0.0,\n \"edit_close\": 0.0\n },\n \"late\": {\n \"n\": 48,\n \"d_lp101\": -0.730097621679306,\n \"d_next\": -0.017578468136315067,\n \"p101_base\": 0.0033744544368703813,\n \"p101_edit\": 0.013296872646650098,\n \"top_same\": 0.9791666666666666,\n[... 1851 lines cut ...]\n+R=/home/keith/gemma-v2\n+A=$R/wsp31/authors/gpt\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\""},{"i":176,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp close033_record.json finish_record.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":177,"kind":"output","long":false,"text":" succeeded in 312ms:"},{"i":178,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'export PYTHONDONTWRITEBYTECODE=1 OMP_NUM_THREADS=8 MKL_NUM_THREADS=8; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/finalize_entry.py /home/keith/gemma-v2/wsp31/authors/gpt/code/close033_record.json; bash /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-033/build.sh'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":179,"kind":"output","long":true,"text":"diff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n[... 895 lines cut ...]\nbuilt close 50\nbuilt close 60\nSAVED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/rebuild/writer-close-amplify-033 net 0.0033000000906924414\nOK edit: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.008453 at 29.down_proj\nOK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.008451 at 53.o_proj\n\n**Handling tool session output and file immutability**\n**Managing file permissions during freezing**"},{"i":180,"kind":"assistant","long":false,"text":"The 1.0% late-thought edit remains coherent under the replay heuristic, though it changes more tool choices than the 0.33% dose. I\u2019ve staged the close-amplification entry and started a rebuild from pinned inputs. It will get `READY` after its final checks."},{"i":181,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py; ls -l /home/keith/gemma-v2/wsp31/authors/gpt/scratch/rebuild/writer-close-amplify-033/ctrl/adapter_model.safetensors'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":182,"kind":"output","long":true,"text":" succeeded in 987ms:\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750\nclose-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479\nlate-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\nlate-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229\nlate-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688\nshift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438\nshift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\ndirection shift o_proj fit 32 check 11 AUC 1.0\ndirection shift down_proj fit 32 check 11 AUC 1.0\n-rw------- 1 keith keith 5052696 Nov 12 22:18 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/rebuild/writer-close-amplify-033/ctrl/adapter_model.safetensors\n\ndiff --git a/NOTES.md b/NOTES.md\n[... 900 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Reviewing prediction details**"},{"i":183,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'head -n 74 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-100/edit_target.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":184,"kind":"output","long":true,"text":" succeeded in 239ms:\n{\n \"summary\": {\n \"early\": {\n \"n\": 192,\n \"d_lp101\": 6.028552142282327,\n \"d_next\": -0.023362048828092046,\n \"p101_base\": 0.0011136960625468479,\n \"p101_edit\": 0.0002198215558971106,\n \"top_same\": 0.9583333333333334,\n \"base_close\": 0.0,\n \"edit_close\": 0.0\n },\n \"late\": {\n \"n\": 48,\n \"d_lp101\": 4.633474034567674,\n \"d_next\": -0.03691828452173832,\n \"p101_base\": 0.0033744544368703813,\n \"p101_edit\": 0.00240880333192102,\n \"top_same\": 0.9791666666666666,\n[... 960 lines cut ...]\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing mechanism adjustments**\n**Evaluating timing and GPU budget**\n**Analyzing matrix rank reduction and control comparisons**\n**Planning probe job execution**"},{"i":185,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":186,"kind":"output","long":true,"text":" succeeded in 962ms:\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750\nclose-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479\nlate-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583\nlate-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\nlate-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229\nlate-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688\nshift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438\nshift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\ndirection shift o_proj fit 32 check 11 AUC 1.0\ndirection shift down_proj fit 32 check 11 AUC 1.0\n\ndiff --git a/NOTES.md b/NOTES.md\n[... 900 lines cut ...]\n+mkdir -p \"$A/code/tool_snapshot/data\"\n+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do\n+ cp \"$R/wsp31/tools/$f\" \"$A/code/tool_snapshot/$f\"\n+done\n+cp \"$R/wsp31/tools/data/fro_norms.json\" \"$A/code/tool_snapshot/data/fro_norms.json\"\n+sha256sum \"$A\"/code/tool_snapshot/*.py \"$A/code/tool_snapshot/data/fro_norms.json\" > \"$A/code/tool_snapshot/SHA256SUMS\"\n\n**Analyzing timing and confidence**"},{"i":187,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\n**Optimizing task execution flow**\n**Handling script read trap**\n**Managing build process cleanup**\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\verify_rebuild.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, set code/data/served_candidates.txt before hold 2 begins, verify rebuild, finish and READY entries one at a time. None ready yet. Do not queue a BROKEN arm or call offline probe movement solved tasks. Preserve this turn's builders and data; queued records will hash them.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e7cec\n--- /dev/null\n+++ b/audit_boundary.py\n@@ -0,0 +1,10 @@\n+import json,collections,sys\n+from author_capture import A,T,classes\n+sys.path.insert(0,T)\n+import g31\n[line removed by the dashboard scrubber]\n+for r in map(json.loads,open(A/'code/data/episodes.jsonl')):\n+ for k,ps in classes(r).items():\n+ if k in counts:counts[k].update(r['ids'][p] \n[... 44405 characters cut ...]"},{"i":188,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp verify_rebuild.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":189,"kind":"output","long":false,"text":" succeeded in 367ms:"},{"i":190,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/verify_rebuild.py writer-close-amplify-033; PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":191,"kind":"output","long":true,"text":" succeeded in 3196ms:\nBIT_EXACT writer-close-amplify-033 all six adapter files\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750\nclose-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479\nclose-100 edit 4.3433 1.0000 3.2233 3.4105 1.6686 -9.3901 0.1562\nclose-100 ctrl 0.0049 0.0000 - - - - -\nlate-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583\nlate-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\nlate-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229\nlate-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688\nshift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438\nshift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\ndirection shift o_proj fit 32 check 11 AUC 1.0\n[... 923 lines cut ...]\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Analyzing threshold candidates and timing constraints**\n**Analyzing candidate selection and thresholds**\n**Analyzing dose queue optimization**"},{"i":192,"kind":"assistant","long":true,"text":"The 1.0% close-amplification dose breaks the replay test: mean KL rises to 4.34 and every tested tool-name choice changes. I\u2019m ruling it out and testing 0.50% and 0.66% to locate a useful dose above 0.33%. The staged 0.33% entry rebuilds bit for bit, including its metadata.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\pipeline2_job.sh\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\refine_select.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, set code/data/served_candidates.txt before hold 2 begins, verify rebuild, finish and READY entries one at a time. None ready yet. Do not queue a BROKEN arm or call offline probe movement solved tasks. Preserve this turn's builders and data; queued records will hash them.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e7cec\n--- /dev/null\n+++ b/audit_boundary.py\n@@ -0,0 +1,10 @@\n+import json,collections,sys\n+from author_capture import A,T,classes\n+sys.path.insert(0,T)\n+import g31\n[line re\n[... 46264 characters cut ...]"},{"i":193,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp refine_select.py pipeline2_job.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":194,"kind":"output","long":false,"text":" succeeded in 414ms:"},{"i":195,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'export PYTHONDONTWRITEBYTECODE=1 OMP_NUM_THREADS=8 MKL_NUM_THREADS=8; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/scale_project.py /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-050 0.005; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/scale_project.py /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-066 0.0066'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":196,"kind":"output","long":true,"text":" succeeded in 2931ms:\nSCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-050 0.005\nSCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-066 0.0066\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[... 927 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Analyzing timing and processing constraints**"},{"i":197,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py; ls -l /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold1_end /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold2_start'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":198,"kind":"output","long":true,"text":" exited 1 in 1590ms:\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750\nclose-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479\nclose-100 edit 4.3433 1.0000 3.2233 3.4105 1.6686 -9.3901 0.1562\nclose-100 ctrl 0.0049 0.0000 0.3535 0.1164 0.1057 -0.0995 0.9167\nlate-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583\nlate-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\nlate-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229\nlate-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688\nshift-010 edit 0.0482 0.0000 1.8937 1.8826 1.0539 0.0298 0.9375\nshift-010 ctrl 0.0082 0.0000 - - - - -\nshift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438\nshift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\ndirection close o_proj fit 32 check 11 AUC 1.0\ndirection close down_proj fit 32 check 11 AUC 1.0\n[... 948 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Analyzing format adjustments**"},{"i":199,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'head -n 73 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-010/edit_target.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":200,"kind":"output","long":true,"text":" succeeded in 413ms:\n{\n \"summary\": {\n \"early\": {\n \"n\": 192,\n \"d_lp101\": 1.8936648247763515,\n \"d_next\": -0.003747232297454476,\n \"p101_base\": 0.0011136960625468479,\n \"p101_edit\": 0.004267279159449108,\n \"top_same\": 0.9895833333333334,\n \"base_close\": 0.0,\n \"edit_close\": 0.005208333333333333\n },\n \"late\": {\n \"n\": 48,\n \"d_lp101\": 1.8826098541418712,\n \"d_next\": -0.03133558474177963,\n \"p101_base\": 0.0033744544368703813,\n \"p101_edit\": 0.017632587668950653,\n \"top_same\": 0.9791666666666666,\n[... 999 lines cut ...]\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Analyzing test selection and fallback strategies**\n**Optimizing fallback test selection**"},{"i":201,"kind":"assistant","long":true,"text":"[line removed by the dashboard scrubber]\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\pipeline2_job.sh\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\refine_select.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, set code/data/served_candidates.txt before hold 2 begins, verify rebuild, finish and READY entries one at a time. None ready yet. Do not queue a BROKEN arm or call offline probe movement solved tasks. Preserve this turn's builders and data; queued records will hash them.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e7cec\n--- /dev/null\n+++ b/audit_boundary.py\n@@ -0,0 +1,10 @@\n+import json,collections,sys\n+from author_capture import A,T,classes\n+sys.path.insert(0,T)\n+import g31\n[line removed by the dashboard scrubber]\n+for r in map(json.loads,open(A/'code/data/episodes.jsonl')):\n+ for k,ps in classes(r).items():\n+ if k in counts:counts[k].update(r['ids'][p] for p in ps)\n+for k,c in counts.items():\n[line re\n[... 46421 characters cut ...]"},{"i":202,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp refine_select.py pipeline2_job.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":203,"kind":"output","long":false,"text":" succeeded in 380ms:"},{"i":204,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ls -l /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold1_end /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold2_start; PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":205,"kind":"output","long":true,"text":" succeeded in 1579ms:\n-rw-rw-r-- 1 keith keith 11 Nov 12 22:22 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold1_end\n-rw-rw-r-- 1 keith keith 11 Nov 12 22:22 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold2_start\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750\nclose-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479\nclose-100 edit 4.3433 1.0000 3.2233 3.4105 1.6686 -9.3901 0.1562\nclose-100 ctrl 0.0049 0.0000 0.3535 0.1164 0.1057 -0.0995 0.9167\nlate-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583\nlate-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\nlate-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229\nlate-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688\nshift-010 edit 0.0482 0.0000 1.8937 1.8826 1.0539 0.0298 0.9375\nshift-010 ctrl 0.0082 0.0000 0.3489 0.4458 -0.0595 -0.0698 0.9271\nshift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438\nshift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\n[... 954 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Analyzing script fallback timing**"},{"i":206,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold1_start /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold1_end /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold2_start; tail -n 1 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/build.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":207,"kind":"output","long":true,"text":" succeeded in 259ms:\n1794538788\n1794540169\n1794540169\nSCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-100 0.01\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n[... 1890 lines cut ...]\n+for arm in ['edit','ctrl']:\n+ for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')"},{"i":208,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":209,"kind":"output","long":true,"text":" succeeded in 991ms:\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750\nclose-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479\nclose-050 edit 0.1380 0.1250 0.6016 0.6031 1.3959 -1.1244 0.7188\nclose-050 ctrl 0.0042 0.0000 0.1615 0.0853 0.0666 -0.0852 0.9271\nclose-100 edit 4.3433 1.0000 3.2233 3.4105 1.6686 -9.3901 0.1562\nclose-100 ctrl 0.0049 0.0000 0.3535 0.1164 0.1057 -0.0995 0.9167\nlate-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583\nlate-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\nlate-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229\nlate-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688\nshift-010 edit 0.0482 0.0000 1.8937 1.8826 1.0539 0.0298 0.9375\nshift-010 ctrl 0.0082 0.0000 0.3489 0.4458 -0.0595 -0.0698 0.9271\nshift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438\nshift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\ndirection late down_proj fit 14 check 4 AUC 0.81875\n[... 956 lines cut ...]\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Reviewing pipeline status and readiness**\n**Verifying build integrity**\n**Confirming data completeness**"},{"i":210,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":211,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/progress.py; ls -l /home/keith/gemma-v2/wsp31/authors/gpt/code/data/refine_selection.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":212,"kind":"output","long":true,"text":" exited 1 in 1016ms:\ncandidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same\nclose-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750\nclose-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479\nclose-050 edit 0.1380 0.1250 0.6016 0.6031 1.3959 -1.1244 0.7188\nclose-050 ctrl 0.0042 0.0000 0.1615 0.0853 0.0666 -0.0852 0.9271\nclose-066 edit 0.4195 0.1250 2.2131 2.1690 1.5150 -2.9264 0.5417\nclose-100 edit 4.3433 1.0000 3.2233 3.4105 1.6686 -9.3901 0.1562\nclose-100 ctrl 0.0049 0.0000 0.3535 0.1164 0.1057 -0.0995 0.9167\nlate-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583\nlate-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792\nlate-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479\nlate-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688\nlate-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229\nlate-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688\nshift-010 edit 0.0482 0.0000 1.8937 1.8826 1.0539 0.0298 0.9375\nshift-010 ctrl 0.0082 0.0000 0.3489 0.4458 -0.0595 -0.0698 0.9271\nshift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438\nshift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750\ndirection late o_proj fit 14 check 4 AUC 0.9447916666666667\n[... 1943 lines cut ...]\n+for arm in ['edit','ctrl']:\n+ for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')"},{"i":213,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp non_split.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":214,"kind":"output","long":false,"text":" succeeded in 319ms:"},{"i":215,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/non_split.py; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/data/refine_selection.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":216,"kind":"output","long":true,"text":" exited 1 in 1156ms:\n{\n \"close-033\": {\n \"tool_arguments\": {\n \"n\": 14,\n \"d_next\": 0.012151789595740021,\n \"top_same\": 1.0,\n \"edit_close\": 0.0\n },\n \"read_context\": {\n \"n\": 82,\n \"d_next\": -0.5264531220523944,\n \"top_same\": 0.8536585365853658,\n \"edit_close\": 0.0\n }\n },\n \"close-050\": {\n \"tool_arguments\": {\n \"n\": 14,\n \"d_next\": 0.025977706600640107,\n[... 1051 lines cut ...]\n\n**Evaluating dose ladder timing**\n**Analyzing dosing precision and model output**\n**Analyzing gating and control projections**\n**Reviewing GPU time and control loading**\n**Describing control matrix building**\n**Explaining gate absence in projections**\n**Clarifying control conditions**"},{"i":217,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/gpt/code/data/refine_selection.json; ls -l /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/edit_boundary.json; cat /home/keith/gemma-v2/wsp31/authors/gpt/code/data/served_candidates.txt'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":218,"kind":"output","long":true,"text":" succeeded in 262ms:\n{\n \"criteria\": \"Both causal verdicts not BROKEN, edit post-thought top unchanged >= .96 and tool top unchanged >= .85. Largest dose passing these checks.\",\n \"audit\": [\n {\n \"candidate\": \"close-050\",\n \"accepted\": true,\n \"causal_kl\": 0.1380334347486496,\n \"post_thought_top_same\": 1.0,\n \"tool_top_same\": 0.9642857142857143,\n \"non_dnext\": -1.1244010051967261\n },\n {\n \"candidate\": \"close-066\",\n \"accepted\": false,\n \"causal_kl\": 0.41947901248931885,\n \"post_thought_top_same\": 0.9285714285714286,\n \"tool_top_same\": 0.9285714285714286,\n \"non_dnext\": -2.9263803373177475\n }\n[... 988 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n[line removed by the dashboard scrubber]"},{"i":219,"kind":"assistant","long":false,"text":"The upper dose is now selected: 0.50% passes the stated checks, while 0.66% changes two of 28 post-thought openers and fails them. The three finalists are close amplification at 0.33% and 0.50%, plus the common-to-close shift at 0.11%. All 14 sampled tool-argument predictions remain unchanged at both selected close doses."},{"i":220,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'head -n 100 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/edit_boundary.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":221,"kind":"output","long":true,"text":" succeeded in 240ms:\n{\n \"summary\": {\n \"early\": {\n \"n\": 281,\n \"base_p\": 0.00011395868850710353,\n \"arm_p\": 0.0013835583351686886,\n \"d_lpclose\": -0.8810190984787042,\n \"d_lpnext\": -0.02785311333556094,\n \"base_top_close\": 0.0,\n \"arm_top_close\": 0.0,\n \"top_same\": 0.9501779359430605\n },\n \"mid\": {\n \"n\": 266,\n \"base_p\": 1.2228491952242805e-05,\n \"arm_p\": 4.919613323566612e-05,\n \"d_lpclose\": -0.8349174503096961,\n \"d_lpnext\": -0.049051891110738044,\n \"base_top_close\": 0.0,\n[... 2078 lines cut ...]\n+for arm in ['edit','ctrl']:\n+ for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')"},{"i":222,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp complete_entry.py finish_record.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":223,"kind":"output","long":false,"text":" succeeded in 336ms:"},{"i":224,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ls /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/*boundary.json /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-050/*boundary.json /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-010/*boundary.json; ls -l /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/server_18410.latest.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":225,"kind":"output","long":true,"text":" exited 1 in 299ms:\n/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/ctrl_boundary.json\n/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/edit_boundary.json\n/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-050/ctrl_boundary.json\n/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-050/edit_boundary.json\nls: cannot access '/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-010/*boundary.json': No such file or directory\nls: cannot access '/home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/server_18410.latest.log': No such file or directory\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n[... 995 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Reviewing probe and script setup**"},{"i":226,"kind":"assistant","long":true,"text":"The newline replay confirms that the selected close doses mainly strengthen natural endings; they do not broadly cut thoughts short in these saved prefixes. The matched controls show little change. I\u2019ll keep those claims separate in the predictions.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\review_finalists.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, set code/data/served_candidates.txt before hold 2 begins, verify rebuild, finish and READY entries one at a time. None ready yet. Do not queue a BROKEN arm or call offline probe movement solved tasks. Preserve this turn's builders and data; queued records will hash them.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e7cec\n--- /dev/null\n+++ b/audit_boundary.py\n@@ -0,0 +1,10 @@\n+import json,collections,sys\n+from author_capture import A,T,classes\n+sys.path.insert(0,T)\n+import g31\n[line removed by the dashboard scrubber]\n+for r in map(json.loads,open(A/'code/dat\n[... 50261 characters cut ...]"},{"i":227,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp review_finalists.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":228,"kind":"output","long":false,"text":" succeeded in 268ms:"},{"i":229,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/review_finalists.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":230,"kind":"output","long":true,"text":" succeeded in 1015ms:\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n[... 1014 lines cut ...]\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Analyzing shift parameters and GPU budget**\n**Analyzing nonlinear threshold effects**\n**Analyzing untrained adapter behavior**\n**Evaluating hypothesis on combo edits**\n**Processing combo builder and monitoring server**"},{"i":231,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ls -l /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/server_18410.latest.log; tail -n 6 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/server_18410.latest.log; ls /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/*served.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":232,"kind":"output","long":true,"text":" exited 1 in 211ms:\nls: cannot access '/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/*served.json': No such file or directory\nlrwxrwxrwx 1 keith keith 80 Nov 12 22:30 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/server_18410.latest.log -> /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/server_18410_1112_223047.log\n(EngineCore pid=723107) WARNING 11-12 22:31:05 [model_manager.py:375] Regarding Gemma4ForConditionalGeneration, no matching PunicaWrapper is found; embed_vision.embedding_projection will be ignored.\n(EngineCore pid=723107) INFO 11-12 22:31:06 [gpu_model_runner.py:[port]] Model loading took 23.32 GiB memory and 2.686043 seconds\n[line removed by the dashboard scrubber]\n(EngineCore pid=723107) INFO 11-12 22:31:31 [backends.py:[port]] Using cache directory: /home/keith/gemma-v2/wsp31/authors/gpt/scratch/cache/vllm/torch_compile_cache/790900af12/rank_0_0/backbone for vLLM's torch.compile\n(EngineCore pid=723107) INFO 11-12 22:31:31 [backends.py:[port]] Dynamo bytecode transform time: 10.04 s\n(EngineCore pid=723107) INFO 11-12 22:31:38 [backends.py:372] Cache the graph of compile range (1, 8192) for later use\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n[... 1013 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Clarifying IP logging concerns**"},{"i":233,"kind":"assistant","long":true,"text":"The vLLM wrapper is starting for the served replay check. At 0.50%, the newline replay cuts one of 28 short thoughts and one of three long thoughts; its control cuts none. That is a small development sample, not evidence yet of more solved tasks.\n\n**Analyzing configuration and model states**\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\close050_record.json\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\shift011_record.json\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+Next: inspect pre-tests, set code/data/served_candidates.txt before hold 2 begins, verify rebuild, finish and READY entries one at a time. None ready yet. Do not queue a BROKEN arm or call offline probe movement solved tasks. Preserve this turn's builders and data; queued records will hash them.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e7cec\n--- /dev/null\n+++ b/audit_boundary.py\n@@ -0,0 +1,10 @@\n+import json,collections,sys\n+from author_capture import A,T,classes\n+sys.path.insert(\n[... 53688 characters cut ...]"},{"i":234,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp close050_record.json shift011_record.json wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":235,"kind":"output","long":false,"text":" succeeded in 443ms:"},{"i":236,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ls -l /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/*served.json; tail -n 4 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/server_18410.latest.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":237,"kind":"output","long":true,"text":" succeeded in 288ms:\nls: cannot access '/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/*served.json': No such file or directory\n from /home/keith/gemma-v2/wsp31/authors/gpt/scratch/tmp/tmpm5n8mkak/__triton_launcher.c:2:\n/usr/include/features.h:319:10: note: this is the location of the previous definition\n 319 | # define _POSIX_C_SOURCE 202405L\n | ^~~~~~~~~~~~~~~\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n[... 2115 lines cut ...]\n+for arm in ['edit','ctrl']:\n+ for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')"},{"i":238,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'grep -n -e ERROR -e Traceback -e startup -e loading /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/server_18410.latest.log | tail -n 8; ls /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/*served.json; cat /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold2_end'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":239,"kind":"output","long":true,"text":" exited 1 in 244ms:\n85:(EngineCore pid=723107) INFO 11-12 22:31:06 [gpu_model_runner.py:[port]] Model loading took 23.32 GiB memory and 2.686043 seconds\n278:(APIServer pid=722747) WARNING 11-12 22:32:45 [api_router.py:30] LoRA dynamic loading & unloading is enabled in the API server. This should ONLY be used for local development!\n317:(APIServer pid=722747) INFO: Waiting for application startup.\n318:(APIServer pid=722747) INFO: Application startup complete.\n/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/ctrl_served.json\n/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/edit_served.json\ncat: /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold2_end: No such file or directory\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n[... 1050 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Confirming server readiness**"},{"i":240,"kind":"assistant","long":false,"text":"The server is up, and served replay results are available for the 0.33% edit and its control. I\u2019m checking them against the offline results before writing that entry\u2019s `READY` file."},{"i":241,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/review_finalists.py'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":242,"kind":"output","long":true,"text":" succeeded in 1094ms:\n[line removed by the dashboard scrubber]\nclose-033 edit SERVED {\"all\": {\"n\": 32, \"d_next\": 0.05325185005278055, \"kl\": 0.07470099582082461, \"flip\": 0.0, \"clipped\": 0.0}, \"think\": {\"n\": 16, \"d_next\": 0.11077094530752163, \"kl\": 0.13194056470075494, \"flip\": 0.0, \"clipped\": 0.0}, \"tool\": {\"n\": 16, \"d_next\": -0.0042672452019605345, \"kl\": 0.017461426940894267, \"flip\": 0.0, \"clipped\": 0.0}}\n[line removed by the dashboard scrubber]\nclose-033 ctrl SERVED {\"all\": {\"n\": 32, \"d_next\": 0.0006485539234519777, \"kl\": 0.002166770361142445, \"flip\": 0.0, \"clipped\": 0.0}, \"think\": {\"n\": 16, \"d_next\": -0.004955757697246099, \"kl\": 0.002985724867817228, \"flip\": 0.0, \"clipped\": 0.0}, \"tool\": {\"n\": 16, \"d_next\": 0.006252865544150055, \"kl\": 0.001347815854467662, \"flip\": 0.0, \"clipped\": 0.0}}\n[line removed by the dashboard scrubber]\nclose-050 edit SERVED {\"all\": {\"n\": 32, \"d_next\": 0.015349556531915276, \"kl\": 0.16153045141835085, \"flip\": 0.0, \"clipped\": 0.0}, \"think\": {\"n\": 16, \"d_next\": 0.037968861181340685, \"kl\": 0.2902974487067813, \"flip\": 0.0, \"clipped\": 0.0}, \"tool\": {\"n\": 16, \"d_next\": -0.007269748117510133, \"kl\": 0.03276345412992042, \"flip\": 0.0, \"clipped\": 0.0}}\n[line removed by the dashboard scrubber]\nclose-050 ctrl SERVED {\"all\": {\"n\": 32, \"d_next\": -0.007495576368646617, \"kl\": 0.0032580306708471355, \"flip\": 0.03125, \"clipped\": 0.0}, \"think\": {\"n\": 16, \"d_next\": -0.016415679258329874, \"kl\": 0.005848507940709477, \"flip\": 0.0625, \"clipped\": 0.0}, \"tool\": {\"n\": 16, \"d_next\": 0.0014245265210366398, \"kl\": 0.0006675534009847944, \"flip\": 0.0, \"clipped\": 0.0}}\n[line removed by the dashboard scrubber]\nshift-010 edit SERVED {\"all\": {\"n\": 32, \"d_next\": -0.03925561712539216, \"kl\": 0.08721558709715131, \"flip\": 0.0, \"clipped\": 0.0}, \"think\": {\"n\": 16, \"d_next\": -0.02277385013167077, \"kl\": 0.15016007193345207, \"flip\": 0.0, \"clipped\": 0.0}, \"tool\": {\"n\": 16, \"d_next\": -0.05573738411911355, \"kl\": 0.024271102260850556, \"flip\": 0.0, \"clipped\": 0.0}}\n[line removed by the dashboard scrubber]\nshift-010 ctrl SERVED {\"all\": {\"n\": 32, \"d_next\": -0.011930273284142423, \"kl\": 0.01829851042278558, \"flip\": 0.0, \"clipped\": 0.0}, \"think\": {\"n\": 16, \"d_next\": -0.03132429707358142, \"kl\": 0.028051198714485, \"flip\": 0.0, \"clipped\": 0.0}, \"tool\": {\"n\": 16, \"d_next\": 0.007463750505296574, \"kl\": 0.008545822131086168, \"flip\": 0.0, \"clipped\": 0.0}}\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,15 @@\n[... 2148 lines cut ...]\n+for arm in ['edit','ctrl']:\n+ for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')"},{"i":243,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp complete_entry.py update_frozen_manifest.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":244,"kind":"output","long":false,"text":" succeeded in 312ms:"},{"i":245,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'export PYTHONDONTWRITEBYTECODE=1; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/update_frozen_manifest.py; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/complete_entry.py writer-close-amplify-033 --draft; head -n 112 /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-033/record.md; tail -n 16 /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-033/record.md; ls -l /home/keith/gemma-v2/wsp31/queue/champion.json'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":246,"kind":"output","long":true,"text":" exited 1 in 3044ms:\nFROZEN_MANIFEST 23\nRECORD_WRITTEN /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-033 words 2334\nDRAFT_COMPLETE writer-close-amplify-033\ntitle: Amplify natural thought-ending writes across all layers at 0.33 percent\n\n## Hypothesis\n\nThe model sometimes continues after it has reached a useful stopping point. Amplifying the signed end-versus-early component of each writer should strengthen natural thought endings while preserving initial reasoning. This differs from adding a constant close signal: early states can have a negative projection, so amplification can push them away from closing.\n\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\nrevisits process and environment handling. These examples support a time-cost hypothesis, not a claim that the\nthoughts are useless. Ledger 0006 reports the broader association between long thoughts and session cutoffs.\n\nThis differs from ledger 0007-0010: it changes both writers at every layer and keeps their existing input dependence,\ninstead of fitting a new neuron gate or scaling a small set of final-layer neurons. PRIOR_E4B reports null or harmful\nbrevity edits. Here the tested difference is the broad, measured writer contrast and the training-sized dose; that\nearlier result remains a reason for the negative end of the prediction interval. No trained adapter supplied a direction.\n\n[... 1191 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Verifying record counts and process flow**"},{"i":247,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/complete_entry.py writer-close-amplify-033; cat /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold2_end'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":248,"kind":"output","long":true,"text":" succeeded in 1830ms:\nRECORD_WRITTEN /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-033 words 2334\nREADY writer-close-amplify-033\n1794540855\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\NOTES.md\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..6d69d966f97f176af5e34e586cfb81fda27235f5\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,17 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n[... 1065 lines cut ...]\n+for arm in ['edit','ctrl']:\n+ for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')"},{"i":249,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp NOTES.md wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":250,"kind":"output","long":false,"text":" succeeded in 307ms:"},{"i":251,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'export PYTHONDONTWRITEBYTECODE=1 OMP_NUM_THREADS=8 MKL_NUM_THREADS=8; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/finalize_entry.py /home/keith/gemma-v2/wsp31/authors/gpt/code/close050_record.json; bash /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-050/build.sh'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":252,"kind":"output","long":true,"text":"diff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..6d69d966f97f176af5e34e586cfb81fda27235f5\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,17 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n[... 1078 lines cut ...]\nOK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.01281 at 56.o_proj\n\n**Optimizing GPU time usage**\n**Assessing duplicate component risk**\n**Analyzing test component performance**\n**Refining builder and freeze process**\n**Drafting combo finalization script**\n[line removed by the dashboard scrubber]"},{"i":253,"kind":"assistant","long":false,"text":"[line removed by the dashboard scrubber]"},{"i":254,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'export PYTHONDONTWRITEBYTECODE=1; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/verify_rebuild.py writer-close-amplify-050; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/complete_entry.py writer-close-amplify-050 --draft; head -n 30 /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-050/record.md; tail -n 14 /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-050/record.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":255,"kind":"output","long":true,"text":" succeeded in 2561ms:\nBIT_EXACT writer-close-amplify-050 all six adapter files\nRECORD_WRITTEN /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-050 words 2394\nDRAFT_COMPLETE writer-close-amplify-050\ntitle: Amplify natural thought-ending writes across all layers at 0.50 percent\n\n## Hypothesis\n\nStrengthening each writer's end-versus-early component can make the agent act once its reasoning has reached a useful stopping point. This is the stronger dose of writer-close-amplify-033. It should turn some near-end states into actual thought endings while keeping the natural input dependence of every writer.\n\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\nrevisits process and environment handling. These examples support a time-cost hypothesis, not a claim that the\nthoughts are useless. Ledger 0006 reports the broader association between long thoughts and session cutoffs.\n\nThis differs from ledger 0007-0010: it changes both writers at every layer and keeps their existing input dependence,\ninstead of fitting a new neuron gate or scaling a small set of final-layer neurons. PRIOR_E4B reports null or harmful\nbrevity edits. Here the tested difference is the broad, measured writer contrast and the training-sized dose; that\nearlier result remains a reason for the negative end of the prediction interval. No trained adapter supplied a direction.\n\n[... 1108 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Finalizing training data adjustments**"},{"i":256,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'PYTHONDONTWRITEBYTECODE=1 /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/complete_entry.py writer-close-amplify-050; cat /home/keith/gemma-v2/wsp31/queue/STATUS.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":257,"kind":"output","long":true,"text":" succeeded in 1766ms:\nRECORD_WRITTEN /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-050 words 2394\nREADY writer-close-amplify-050\n# wsp31 queue status (2026-11-12 22:36:51 EST)\n\nRule: not fixed yet (waits for the unedited baseline, ledger record 0001)\n\n## Batches\n\n| batch | stage | gpu | state | arms | rows | note |\n|---|---|---|---|---|---|---|\n| b001 | s1 | 1 | running | base aa zero | 194 | |\n\n## Edits\n\n| ledger | author | slug | state | predicted (120) | stage 1 | stage 2 | control | verdict |\n|---|---|---|---|---|---|---|---|---|\n| 0007 | claude | deep-gate-b01-end-neurons-x9 | queued_s1 | -5 to +9 | | | | - |\n| 0008 | claude | deep-thought-gate-g3-b03 | queued_s1 | -4 to +9 | | | | - |\n| 0009 | claude | end-neurons-x25 | queued_s1 | -8 to +9 | | | | - |\n[... 1087 lines cut ...]\n+for arm in ['edit','ctrl']:\n+ for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')"},{"i":258,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp finish_record.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":259,"kind":"output","long":false,"text":" succeeded in 341ms:"},{"i":260,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp NOTES.md wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":261,"kind":"output","long":false,"text":" succeeded in 353ms:"},{"i":262,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'export PYTHONDONTWRITEBYTECODE=1 OMP_NUM_THREADS=8 MKL_NUM_THREADS=8; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/finalize_entry.py /home/keith/gemma-v2/wsp31/authors/gpt/code/shift011_record.json; bash /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-shift-011/build.sh'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":263,"kind":"output","long":true,"text":"diff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..1744dbea0944139fbed2fb666f9b700adc35ff29\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,17 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n[... 1076 lines cut ...]\nSAVED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/rebuild/writer-close-shift-011/source033 net 0.0033000001100329393\nSCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/rebuild/writer-close-shift-011/source033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/rebuild/writer-close-shift-011 0.0011\nOK edit: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.00282 at 24.o_proj\nOK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.002817 at 4.o_proj\n\n**Analyzing GPU and CPU time budgets**\n**Describing project caching and pipeline adjustments**\n**Analyzing internal summary processes**"},{"i":264,"kind":"assistant","long":true,"text":"`writer-close-amplify-050` is now `READY`; the 0.11% shift is in its rebuild check. About ten minutes of GPU lock time remain. Once the third entry is finished, I\u2019ll test one rank-2 combination of the two gentler edits and queue it only if it passes the same checks.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\boundary_probe.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\build_combo.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\combo_candidates.txt\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\combo_guard.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\pipeline3_job.sh\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\served_body.sh\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..1744dbea0944139fbed2fb666f9b700adc35ff29\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,17 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+READY: writer-close-amplify-033 (0.330000%) and writer-close-amplify-050 (0.500014%); both 120 matrices, rank 1. Both arms of each pass the checker and rebuild all six adapter files byte for byte. Served edit KL 0.0747 / 0.1615; each preserves all 32 top choices. Predictions and caveats are in record.md. Pinned sources and input data are in code/turn1; do not overwrite them.\n+\n[line removed by the dashboard scrubber]\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff\n[... 58354 characters cut ...]"},{"i":265,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp build_combo.py combo_guard.py pipeline3_job.sh boundary_probe.py served_body.sh wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":266,"kind":"output","long":false,"text":" succeeded in 665ms:"},{"i":267,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp combo_candidates.txt wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/data/combo_candidates.txt' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":268,"kind":"output","long":false,"text":" succeeded in 267ms:"},{"i":269,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'export PYTHONDONTWRITEBYTECODE=1; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/verify_rebuild.py writer-close-shift-011; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/complete_entry.py writer-close-shift-011 --draft; head -n 29 /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-shift-011/record.md; tail -n 13 /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-shift-011/record.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":270,"kind":"output","long":true,"text":" succeeded in 2559ms:\nBIT_EXACT writer-close-shift-011 all six adapter files\nRECORD_WRITTEN /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-shift-011 words 2398\nDRAFT_COMPLETE writer-close-shift-011\ntitle: Shift common writer output toward thought endings across all layers at 0.11 percent\n\n## Hypothesis\n\nA small write toward the end-of-thought contrast, read from each writer's common thought component, can help the agent turn a nearly finished thought into a tool action. Unlike a signed projection gain, this rank-one map can add a close signal even when the writer has little positive alignment with the end direction.\n\n[line removed by the dashboard scrubber]\n[line removed by the dashboard scrubber]\nrevisits process and environment handling. These examples support a time-cost hypothesis, not a claim that the\nthoughts are useless. Ledger 0006 reports the broader association between long thoughts and session cutoffs.\n\nThis differs from ledger 0007-0010: it changes both writers at every layer and keeps their existing input dependence,\ninstead of fitting a new neuron gate or scaling a small set of final-layer neurons. PRIOR_E4B reports null or harmful\nbrevity edits. Here the tested difference is the broad, measured writer contrast and the common-reader map; that\nearlier result remains a reason for the negative end of the prediction interval. No trained adapter supplied a direction.\n\n[... 1181 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Reviewing project constraints**"},{"i":271,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'export PYTHONDONTWRITEBYTECODE=1 OMP_NUM_THREADS=8 MKL_NUM_THREADS=8; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/complete_entry.py writer-close-shift-011; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/build_combo.py /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-combo; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/check_adapter.py /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-combo/edit; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/check_adapter.py /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-combo/ctrl'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":272,"kind":"output","long":false,"text":" succeeded in 4391ms:\nRECORD_WRITTEN /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-shift-011 words 2398\nREADY writer-close-shift-011\nCOMBO 0.0028191520322321485 0.002819152031596603 2\nOK edit: 120 modules changed (of 120 present), r=2, max |dW|_F/|W|_F 0.0103 at 59.o_proj\nOK ctrl: 120 modules changed (of 120 present), r=2, max |dW|_F/|W|_F 0.01029 at 59.o_proj"},{"i":273,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'nohup flock /home/keith/gemma-v2/wsp31/gpu0.lock timeout 540 bash /home/keith/gemma-v2/wsp31/authors/gpt/code/pipeline3_job.sh > /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline3.log 2>&1 < /dev/null & echo \"'$!; cat /home/keith/gemma-v2/wsp31/queue/STATUS.md'\"'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":274,"kind":"output","long":true,"text":" succeeded in 253ms:\n752595\n# wsp31 queue status (2026-11-12 22:38:56 EST)\n\nRule: not fixed yet (waits for the unedited baseline, ledger record 0001)\n\n## Batches\n\n| batch | stage | gpu | state | arms | rows | note |\n|---|---|---|---|---|---|---|\n| b001 | s1 | 1 | running | base aa zero | 198 | |\n\n## Edits\n\n| ledger | author | slug | state | predicted (120) | stage 1 | stage 2 | control | verdict |\n|---|---|---|---|---|---|---|---|---|\n| 0007 | claude | deep-gate-b01-end-neurons-x9 | queued_s1 | -5 to +9 | | | | - |\n| 0008 | claude | deep-thought-gate-g3-b03 | queued_s1 | -4 to +9 | | | | - |\n| 0009 | claude | end-neurons-x25 | queued_s1 | -8 to +9 | | | | - |\n| 0010 | claude | early-gate-b01-end-neurons-x9 | queued_s1 | -7 to +9 | | | | - |\n[... 1161 lines cut ...]\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Analyzing norm cancellation effects**\n**Verifying metadata consistency**\n**Analyzing cache and memory usage**"},{"i":275,"kind":"assistant","long":true,"text":"All three required entries are now `READY`. The combination also passes the checker. Its network-wide change is 0.282%, because the component matrices partly cancel. Its final GPU test is running under a nine-minute cap, keeping total lock time below 45 minutes.\n\n2026-11-13T03:40:13.806800Z ERROR codex_core::tools::router: error=apply_patch verification failed: invalid patch: multiple operations target C:\\Users\\Owner\\wsp31_loop\\work\\gpt\\NOTES.md\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..1744dbea0944139fbed2fb666f9b700adc35ff29\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,17 @@\n+# Author gpt, turn 1 in progress\n+\n+Read BRIEF, ledger 0001-0010, PRIOR_E4B, survey A/C, tools and architecture. No promoted edit in ledger; CHAMPION.md and champion.json are absent. Design base is provisionally generation 0.\n+\n+Plan: test broad writer-space edits. Capture raw attention and MLP write directions early (thought depth 50-249), late (>=800), and immediately before thought close. Contrast per-task means and remove their shared mean component. Families: contract late writes, amplify close writes, or map common writes toward close. Both writers at all 60 layers give 120 matrices, rank 1. Doses: 0.11%, 0.33%, 1.0% whole-network movement. Random orthogonal controls match each matrix's norm; shift keeps the same reader.\n+\n+Saved screening-only b001 snapshot: 120 episodes, 43 unique tasks; one episode per task, prefer base then aa then zero. Sort by SHA256(instance); every fourth task is check (11), others fit (32). Source code/data/episodes.jsonl. GPU hold 1 began 21:59:48 EST, capped at 1620 seconds. Capture completed all 43 in 421 seconds; builders overlapped check capture. Offline pre-tests now run (scratch/logs/pipeline.log). Hold 2 is queued, capped at 1080 seconds: every-newline replay, then served fastprobe on selected candidates. Maximum combined lock time is 45 minutes. No agent rollouts or trained adapter directions.\n+\n+Tools forward-pass and replay agreement remain NOT VERIFIED YET in TOOLS.md. Document this beside all offline numbers. Successful-trajectory likelihood and a confirmed activation atlas are unavailable; use documented capture library and causal pre-tests.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+READY: writer-close-amplify-033 (0.330000%) and writer-close-amplify-050 (0.500014%); both 120 matrices, rank 1. Both arms of each pass the checker and rebuild all six adapter files byte for byte. Served edit KL 0.0747 / 0.1615; each preserves all 32 top choices. Predictions and caveats are in record.md. Pinned sources and input data are in code/turn1; do not overwrite them.\n+\n[line removed by the dashboard scrubber]\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e7cec\n-\n[... 179635 characters cut ...]"},{"i":276,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp NOTES.md wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":277,"kind":"output","long":false,"text":" succeeded in 282ms:"},{"i":278,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'wc -w /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md; ls -l /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold3_start; cat /home/keith/gemma-v2/wsp31/queue/STATUS.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":279,"kind":"output","long":true,"text":" succeeded in 229ms:\nls: cannot access '/home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold3_start': No such file or directory\n453 /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md\n# wsp31 queue status (2026-11-12 22:40:30 EST)\n\nRule: not fixed yet (waits for the unedited baseline, ledger record 0001)\n\n## Batches\n\n| batch | stage | gpu | state | arms | rows | note |\n|---|---|---|---|---|---|---|\n| b001 | s1 | 1 | running | base aa zero | 199 | |\n\n## Edits\n\n| ledger | author | slug | state | predicted (120) | stage 1 | stage 2 | control | verdict |\n|---|---|---|---|---|---|---|---|---|\n| 0007 | claude | deep-gate-b01-end-neurons-x9 | queued_s1 | -5 to +9 | | | | - |\n| 0008 | claude | deep-thought-gate-g3-b03 | queued_s1 | -4 to +9 | | | | - |\n| 0009 | claude | end-neurons-x25 | queued_s1 | -8 to +9 | | | | - |\n[... 1163 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Analyzing GPU job scheduling and locks**"},{"i":280,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'lslocks -o PID,MODE,PATH | grep gpu0.lock; cat /home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/pipeline3.log'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":281,"kind":"output","long":true,"text":" succeeded in 295ms:\n752595 WRITE* /home/keith/gemma-v2/wsp31/gpu0.lock\n671284 WRITE* /home/keith/gemma-v2/wsp31/gpu0.lock\n654027 WRITE /home/keith/gemma-v2/wsp31/gpu0.lock\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..43e0a0fe211c69a20dbfb59fad3d7d078e0856d3\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,19 @@\n+# Author gpt \u2014 turn 1, 2026-11-12\n+\n+Three entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay:\n+\n+- writer-close-amplify-033: 0.330000% whole network, 120 matrices, rank 1. Natural end-versus-early writer projection gain. Prediction -7 to +14 tasks/120.\n+- writer-close-amplify-050: 0.500014%, 120 matrices, rank 1. Stronger dose; prediction -12 to +16. Largest tested close dose passing the format checks.\n+- writer-close-shift-011: 0.110001%, 120 matrices, rank 1. Common writer component mapped toward the end contrast; prediction -6 to +12.\n+\n+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 acknowledged the first two as ledger 0011/0012; the third was just made READY at 22:39 EST. No screening score exists yet. Champion files were absent and no edit was promoted: everything uses generation 0.\n[... 1141 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Analyzing queued jobs and their timing**"},{"i":282,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'ps -o pid,etime,args -p 654027,671284; ps -o pid,etime,args --ppid 654027'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":283,"kind":"output","long":true,"text":" succeeded in 377ms:\n PID ELAPSED COMMAND\n 654027 32:23 flock /home/keith/gemma-v2/wsp31/gpu0.lock ./sessF.sh\n 671284 26:08 flock /home/keith/gemma-v2/wsp31/gpu0.lock timeout 1740 ./job4.sh\n PID ELAPSED COMMAND\n 734161 07:06 /bin/bash ./sessF.sh\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..43e0a0fe211c69a20dbfb59fad3d7d078e0856d3\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,19 @@\n+# Author gpt \u2014 turn 1, 2026-11-12\n+\n+Three entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay:\n+\n+- writer-close-amplify-033: 0.330000% whole network, 120 matrices, rank 1. Natural end-versus-early writer projection gain. Prediction -7 to +14 tasks/120.\n+- writer-close-amplify-050: 0.500014%, 120 matrices, rank 1. Stronger dose; prediction -12 to +16. Largest tested close dose passing the format checks.\n+- writer-close-shift-011: 0.110001%, 120 matrices, rank 1. Common writer component mapped toward the end contrast; prediction -6 to +12.\n[... 1149 lines cut ...]\n\n**Managing queued tasks and resources**\n**Managing job cancellation and locks**\n**Organizing experiment finalization**\n\nI'm planning the final steps of an extensive CPU-based experiment pipeline, aiming to automate record writing and status checks while ensuring timely and robust completion. I\u2019ll prepare detailed postmortem reports with statistical tables and notes in JSON and Markdown formats to support future analysis without relying on spreadsheets or extra user skills.\n**Analyzing CPU comparison metrics**\n**Analyzing model normalization details**"},{"i":284,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/tools/sessF.sh; cat /home/keith/gemma-v2/wsp31/interp/job4.sh'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":285,"kind":"output","long":true,"text":" succeeded in 468ms:\n#!/bin/bash\n# sessF.sh: one GPU0 hold, several server configurations one after another (each through gpu0_session.sh, so each\n# server is stopped before the next starts). Measures (1) stack_exact adapters of rank 34..64 on a server at\n# --max-lora-rank 64 and of rank 65..96 on a server at 128 against the forward pass with the separate adapters summed,\n# (2) GPU memory and KV cache per (MAXRANK, MAXLORAS, util), (3) whether (128, 6) starts at util 0.90.\n# Queue: nohup flock /home/keith/gemma-v2/wsp31/gpu0.lock ./sessF.sh > logs/sessF_$(date +%H%M).log 2>&1 &\n# Env: HOLD seconds (1680, never above 1740), CONFIGS (default below: \"tag:maxrank:maxloras:util:budget:steps\").\nT=/home/keith/gemma-v2/wsp31/tools\ncd $T\nSTART=$(date +%s); HOLD=${HOLD:-1680}; END=$(( START + HOLD ))\necho \"hold start $(date)\"; echo $START > logs/sessF_hold_start\nleft() { echo $(( END - $(date +%s) )); }\nCONFIGS=${CONFIGS:-\"A:128:4:0.60:780:stackA B:64:3:0.60:400:stackB,champ C:128:6:0.90:480:bench D:64:6:0.90:240:none E:128:2:0.90:240:none\"}\nfor c in $CONFIGS; do\n IFS=: read tag mr ml ut bud steps <<< \"$c\"\n l=$(left)\n [ $l -lt 160 ] && { echo \"##### skip $tag: $l s left\"; continue; }\n [ $bud -gt $(( l - 12 )) ] && bud=$(( l - 12 ))\n echo \"##### $tag MAXRANK=$mr MAXLORAS=$ml util=$ut budget=$bud ($(date +%H:%M:%S), $l s left in hold)\"\n[... 1190 lines cut ...]\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Managing job queue and cancellations**\n**Summarizing final verification notes**\n**Verifying system and process integrity**\n**Creating process cancellation script**\n**Analyzing process cleanup and wrapper control**"},{"i":286,"kind":"assistant","long":true,"text":"The runner has accepted all three entries as ledger records 0011\u20130013. Two other jobs are ahead of the optional combination on GPU 0. I\u2019m cancelling only my waiting request and keeping its builder for the next turn; the three required entries are complete.\n\napply patch\npatch: completed\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\cancel_optional.py\nC:\\Users\\Owner\\wsp31_loop\\work\\gpt\\final_audit.py\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..43e0a0fe211c69a20dbfb59fad3d7d078e0856d3\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,19 @@\n+# Author gpt \u2014 turn 1, 2026-11-12\n+\n+Three entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay:\n+\n+- writer-close-amplify-033: 0.330000% whole network, 120 matrices, rank 1. Natural end-versus-early writer projection gain. Prediction -7 to +14 tasks/120.\n+- writer-close-amplify-050: 0.500014%, 120 matrices, rank 1. Stronger dose; prediction -12 to +16. Largest tested close dose passing the format checks.\n+- writer-close-shift-011: 0.110001%, 120 matrices, rank 1. Common writer component mapped toward the end contrast; prediction -6 to +12.\n+\n+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 acknowledged the first two as ledger 0011/0012; the third was just made READY at 22:39 EST. No screening score exists yet. Champion files were absent and no edit was promoted: everything uses generation 0.\n+\n+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.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+In progress: one extra 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. GPU hold 3 is capped at 540 seconds, log scratch/logs/pipeline3.log; only queue it if guard.json accepts and served replay is coherent.\n+\n+GPU holds 1/2 used 1381 + 686 = 2067 seconds. With hold 3's cap, total is at most 2607 seconds (43m27s), below 45 minutes. No GPU1 use. Scratch remained below 10 GB. Finish by 23:14 EST; keep this note under 600 words.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-100\" .01\n+done\n+date -Is\n+flock \"$R/wsp31/gpu0.lock\" timeout 1500 bash \"$A/code/probe_job.sh\"\ndiff --git a/audit_boundary.py b/audit_boundary.py\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..5247ae42af8a8921d382f57b37b7796f678e\n[... 61247 characters cut ...]"},{"i":287,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp cancel_optional.py final_audit.py wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/code/' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":288,"kind":"output","long":false,"text":" succeeded in 329ms:"},{"i":289,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'export PYTHONDONTWRITEBYTECODE=1; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/cancel_optional.py; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/authors/gpt/code/final_audit.py; du -sh /home/keith/gemma-v2/wsp31/authors/gpt/scratch; ps -o pid,comm -p 722747,723107,752595'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":290,"kind":"output","long":true,"text":" exited 1 in 2011ms:\nCancelled own pending flock 752595\n{\n \"entries\": [\n {\n \"slug\": \"writer-close-amplify-033\",\n \"whole_network_percent\": 0.3299995048009363,\n \"matrices\": 120,\n \"rank\": 1,\n \"ready\": true\n },\n {\n \"slug\": \"writer-close-amplify-050\",\n \"whole_network_percent\": 0.5000140337240827,\n \"matrices\": 120,\n \"rank\": 1,\n \"ready\": true\n },\n {\n \"slug\": \"writer-close-shift-011\",\n[... 2454 lines cut ...]\n+for arm in ['edit','ctrl']:\n+ for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')"},{"i":291,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command 'scp NOTES.md wrx90:/home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md' in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":292,"kind":"output","long":false,"text":" succeeded in 294ms:"},{"i":293,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'wc -w /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md; grep gpt /home/keith/gemma-v2/wsp31/queue/STATUS.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":294,"kind":"output","long":true,"text":" succeeded in 225ms:\n484 /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md\n| 0011 | gpt | writer-close-amplify-033 | queued_s1 | -7 to +14 | | | | - |\n| 0012 | gpt | writer-close-amplify-050 | queued_s1 | -12 to +16 | | | | - |\n| 0013 | gpt | writer-close-shift-011 | queued_s1 | -6 to +12 | | | | - |\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..78e6ea753397fe7233f88e57eb7f424f29fb9240\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,19 @@\n+# Author gpt \u2014 turn 1, 2026-11-12\n+\n+Three entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay:\n+\n+- writer-close-amplify-033: 0.330000% whole network, 120 matrices, rank 1. Natural end-versus-early writer projection gain. Prediction -7 to +14 tasks/120.\n+- writer-close-amplify-050: 0.500014%, 120 matrices, rank 1. Stronger dose; prediction -12 to +16. Largest tested close dose passing the format checks.\n+- writer-close-shift-011: 0.110001%, 120 matrices, rank 1. Common writer component mapped toward the end contrast; prediction -6 to +12.\n+\n[... 1196 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\ncontext compacted"},{"i":295,"kind":"tool","long":false,"text":"\"C:\\\\WINDOWS\\\\System32\\\\WindowsPowerShell\\\\v1.0\\\\powershell.exe\" -Command \"ssh -o BatchMode=yes wrx90 'wc -w /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md; tail -n 7 /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md; grep gpt /home/keith/gemma-v2/wsp31/STATUS.md'\" in C:\\Users\\Owner\\wsp31_loop\\work\\gpt"},{"i":296,"kind":"output","long":true,"text":" exited 1 in 237ms:\n484 /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md\n[line removed by the dashboard scrubber]\n\n[line removed by the dashboard scrubber]\n\nDeferred, not queued: rank-2 combination close-033 + shift-011, under scratch/candidates/close-combo. Exact edit sum; control sum rescaled per matrix to match its norm. Net change is about 0.282% due to cancellation. Both pass the checker, but no pre-test ran. Two other GPU jobs were ahead; cancelled only my waiting flock before it acquired the lock. scratch/combo_deferred.json records this. A later turn may run pipeline3_job.sh through the documented GPU0 lock after checking its budget. Do not create READY without pre-tests and a record.\n\nFinal audit: code/data/turn1_final_audit.json. GPU holds used 1381 + 686 = 2067 seconds (34m27s); no third hold, no GPU1 use, and no author server remains. Scratch is 421 MB, below 10 GB. All required queue files and hashes passed the final audit; two entries meet the training-size rule. Keep this note under 600 words.\ngrep: /home/keith/gemma-v2/wsp31/STATUS.md: No such file or directory\n\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..78e6ea753397fe7233f88e57eb7f424f29fb9240\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,19 @@\n+# Author gpt \u2014 turn 1, 2026-11-12\n+\n+Three entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay:\n[... 1201 lines cut ...]\n+ p=f'{arm}/{name}'\n+ x=(q/p).read_bytes();y=(r/p).read_bytes()\n+ result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}\n+ assert x==y,p\n+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\\n')\n+print('BIT_EXACT',slug,'all six adapter files')\n\n**Creating concise final summary**"},{"i":297,"kind":"assistant","long":true,"text":"- `writer-close-amplify-033`: READY; 0.33% change across 120 matrices.\n- `writer-close-amplify-050`: READY; 0.50% change across 120 matrices.\n- `writer-close-shift-011`: READY; 0.11% change across 120 matrices.\n- Runner accepted entries 0011\u20130013; controls, checks, exact rebuilds, and pretests complete. Screening pending.\n- NOTES.md current. GPU time: 34m27s. Optional combination saved but not queued.\ndiff --git a/NOTES.md b/NOTES.md\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..78e6ea753397fe7233f88e57eb7f424f29fb9240\n--- /dev/null\n+++ b/NOTES.md\n@@ -0,0 +1,19 @@\n+# Author gpt \u2014 turn 1, 2026-11-12\n+\n+Three entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay:\n+\n+- writer-close-amplify-033: 0.330000% whole network, 120 matrices, rank 1. Natural end-versus-early writer projection gain. Prediction -7 to +14 tasks/120.\n+- writer-close-amplify-050: 0.500014%, 120 matrices, rank 1. Stronger dose; prediction -12 to +16. Largest tested close dose passing the format checks.\n+- writer-close-shift-011: 0.110001%, 120 matrices, rank 1. Common writer component mapped toward the end contrast; prediction -6 to +12.\n+\n+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.\n+\n+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.\n+\n[line removed by the dashboard scrubber]\n+\n[line removed by the dashboard scrubber]\n+\n+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.\n+\n+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.\ndiff --git a/after_capture.sh b/after_capture.sh\nnew file mode 100644\nindex 0000000000000000000000000000000000000000..d2bf308d220ebbff95d431cbe29693cf466271c1\n--- /dev/null\n+++ b/after_capture.sh\n@@ -0,0 +1,18 @@\n+#!/bin/bash\n+set -euo pipefail\n+. /home/keith/gemma-v2/env.sh\n+A=$R/wsp31/authors/gpt\n+export WSP31_WORK=$A/scratch\n+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8 PYTHONDONTWRITEBYTECODE=1\n+while ! grep -q '^DONE ' \"$A/scratch/logs/capture.log\"; do\n+ if grep -q 'Traceback' \"$A/scratch/logs/capture.log\"; then exit 1; fi\n+ sleep 10\n+done\n+$PY \"$A/code/build_project.py\" directions\n+for family in late close shift; do\n+ $PY \"$A/code/build_project.py\" build --family \"$family\" --dose .0033 --out \"$A/scratch/candidates/$family-033\"\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch/candidates/$family-010\" .0011\n+ $PY \"$A/code/scale_project.py\" \"$A/scratch/candidates/$family-033\" \"$A/scratch\n[... 61517 characters cut ...]"},{"i":298,"kind":"meta","long":false,"text":"261,848\n- `writer-close-amplify-033`: READY; 0.33% change across 120 matrices.\n- `writer-close-amplify-050`: READY; 0.50% change across 120 matrices.\n- `writer-close-shift-011`: READY; 0.11% change across 120 matrices.\n- Runner accepted entries 0011\u20130013; controls, checks, exact rebuilds, and pretests complete. Screening pending.\n- NOTES.md current. GPU time: 34m27s. Optional combination saved but not queued."}],"updated":"2026-11-15T02:05:57Z"}