Turn 1 · gpt

 succeeded in 334ms:
# wsp31 author brief (read fully at the start of every turn)

You are one of three authors (claude, gpt, gemini) taking turns. Your job: make Gemma 4 31B solve more coding-agent
tasks **by editing its weights, with no training**. You read the model (weights, activations, traces, failures),
decide what to change, build the change as a closed-form edit, predict its effect, and queue it. A separate runner
spends the rollouts and writes the measured result next to your prediction. You are scored on tasks gained over the
champion in the same batch (the unedited model plus the edits that have already passed; see "The champion"), on the
margin over your matched control, and on how well your predictions held.

**Be bold.** Small safe nudges were tried on the 4B model and were lost in the noise (see `PRIOR_E4B.md`). A queue
slot is cheap; a third variation of a null result is a wasted slot. High-risk ideas with a clear mechanism and a
prediction that could be wrong are what this programme wants. Say what would prove you wrong.

## Where you work

- Everything happens on host `wrx90`, reached with `ssh -o BatchMode=yes wrx90 '<command>'`. Write scripts in your
  local working directory, copy them with `scp`, run them with ssh. Keep ssh output small (`tail`, `cut`, `head`).
- Root: `/home/keith/gemma-v2` (below: `$R`). Python: `$R/tii-venv/bin/python` (torch, transformers, vLLM 0.19.1,
  peft, safetensors; no scipy). `. $R/env.sh` sets `R` and `PY`.
[... 179 lines cut ...]
- An edit that passes both stages is promoted: it becomes part of the champion for everything after it.
- The champion is confirmed on tasks you do not see, against the unedited model, and the final champion gets one
  pre-registered held-out run. A changed edit is a new edit.
- A combination of your own edits is a new queue entry with its own record, prediction and control. Combining with
  edits that already passed needs nothing from you: that is what the champion does.

Single-run agent evaluations are noisy by several tasks. An edit worth having shows up as ten or more tasks.
Aim there.

 succeeded in 29ms:
57:- 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
69:- 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]
75:- 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]
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873:- 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]
884: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
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970: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
976:- 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)
980:- WRX90, wrx90-blackwell, disk-audit, WD_BLACK SN8100, 99% full, workstation-runs, Docker mounts, /tmp tmpfs, nvidia-smi driver/library mismatch
986:- 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)
990:- 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
996:- 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)
1006:- 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
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 succeeded in 469ms:
# Notes of author gpt

Nothing yet: this is the first turn.
# wsp31 queue status (2026-11-12 21:44:17 EST)

Rule: not fixed yet (waits for the unedited baseline, ledger record 0001)

## Batches

| batch | stage | gpu | state | arms | rows | note |
|---|---|---|---|---|---|---|
| b001 | s1 | 1 | running | base aa zero | 119 |  |

## Edits

| ledger | author | slug | state | predicted (120) | stage 1 | stage 2 | control | verdict |
|---|---|---|---|---|---|---|---|---|
| 0007 | claude | deep-gate-b01-end-neurons-x9 | queued_s1 | -5 to +9 |  |  |  | - |
| 0008 | claude | deep-thought-gate-g3-b03 | queued_s1 | -4 to +9 |  |  |  | - |
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0004-claude-size-of-real-training-updates.md
0006-claude-interp-lane-readers-failure-modes-directions.md
0007-claude-deep-gate-b01-end-neurons-x9.md
0008-claude-deep-thought-gate-g3-b03.md
0009-claude-end-neurons-x25.md
0010-claude-early-gate-b01-end-neurons-x9.md
TEMPLATE.md
cat: /home/keith/gemma-v2/wsp31/queue/CHAMPION.md: No such file or directory

 succeeded in 297ms:
---
id: 0001
date: 2026-11-12
author: claude
track: baseline
title: Unedited 31B on the screening set, two passes (base rate and identical-arm noise)
status: done
set: wsp31_screen_v1
batch: s1_base
verdict: inconclusive
result: stopped at 59 of 720 episodes; 54% ended at the session limit at concurrency 16
---

## Hypothesis

No edit. This record measures what every later edit is compared with: the unedited model's solve rate on the 360
screening tasks, how often the same weights give a different outcome on the same task, and the size of a paired
difference between two identical arms. The screening pass rule is fixed from these numbers.

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   screening sets, replication before confirmation, and a separate confirmation tier before golden.
2. Two servers with the same weights differed by 11.7 tasks in one run. Arms are compared only within a server.
3. Greedy decoding was not repeatable run to run on the serving stack. Identical-arm noise is measured, not assumed.
4. Early batches flattered an edit (+4.3) and later ones did not (+1.1). Replication is part of the pass rule.
5. Steering the amount of exploration, thinking or verification up or down was mostly neutral or harmful on E4B.
   The largest measured loss was edits made against stale file text, which no edit reduced.

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 succeeded in 352ms:
# Training-free editing of LLM weights: a survey to November 2026, aimed at raising a Gemma 4 31B coding agent's solve rate

*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.*

---

## A. Executive summary

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2. **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 −0.35, 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 −0.35 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.
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5. **Nobody has yet shown an LLM-authored, baked-in weight edit that raises held-out agentic coding solve rate at ≥9B 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.
6. **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 2.2–6.0 pp, with SD above 1.5 pp even at temperature 0. Your +2 to +5 of 170 (1.2–2.9 pp) is inside that band. Multi-run paired designs are mandatory.
7. **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.
8. **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.
9. **Training-free capability transfer between checkpoints is real but needs a donor.** Fine-tuning transfer gave Llama 3.0 → 3.1 +46.9% IFEval and +15.7% LiveCodeBench. ParamΔ recovers about 95–98% of post-training. Reasoning vectors (GRPO − 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.
10. **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.
11. **Gemma 4 interpretability tooling is thin.** The decoderesearc
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 succeeded in 398ms:
# wsp31 tools for edit authors (interim version, Thu 12 Nov 2026, 8:36 PM ET)

Everything here lives in `$R/wsp31/tools` (below `$T`; `$R = /home/keith/gemma-v2`). Each entry ends with
**Verified by** (a measurement that was made) or **NOT VERIFIED YET** (written, first real run still queued; use it,
but do not build a claim on its numbers alone). The file is updated as runs finish; architecture facts are in
`$T/ARCH.md` (read "Consequences for weight edits" there before designing an edit).

Start every shell with:

    . /home/keith/gemma-v2/env.sh; T=$R/wsp31/tools
    export WSP31_WORK=$R/wsp31/authors/<you>/scratch     # caches and server logs of the tools go here, not into $T

Do not write into `$T`. Run the tools by absolute path from your own directory.

## 1. Edit format (what `edit/` and `ctrl/` must be)

A PEFT LoRA adapter directory: `adapter_config.json` + `adapter_model.safetensors` (+ optional `edit.json` note).
The runner serves it with vLLM (`$R/serve_31b.sh`, `--max-lora-rank 32`) on top of the unedited 4-bit checkpoint, so
the model computes `y = W x + 2 * B (A x)` in bf16 for every module the adapter names; nothing is merged or
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  the tools lane has since marked as an older harness. Those packs are not used. Ground truth will be re-measured
  on `tools/data/probe_screen.jsonl` before any reader sees a C or D item.
- The agy reader at scale: at about 9 minutes per call it cannot finish the pilot tonight; it continues in the
  fixed order of amendment 2 and is reported with its n.
- Priority 4 of the lane (do atlas or reader predictions agree with what edits did in rollouts): no stage-1 result
  exists yet.

**Ensuring output length limits**

 succeeded in 337ms:
# wsp31 tools for edit authors (interim version, Thu 12 Nov 2026, 8:36 PM ET)

Everything here lives in `$R/wsp31/tools` (below `$T`; `$R = /home/keith/gemma-v2`). Each entry ends with
**Verified by** (a measurement that was made) or **NOT VERIFIED YET** (written, first real run still queued; use it,
but do not build a claim on its numbers alone). The file is updated as runs finish; architecture facts are in
`$T/ARCH.md` (read "Consequences for weight edits" there before designing an edit).

Start every shell with:

    . /home/keith/gemma-v2/env.sh; T=$R/wsp31/tools
    export WSP31_WORK=$R/wsp31/authors/<you>/scratch     # caches and server logs of the tools go here, not into $T

Do not write into `$T`. Run the tools by absolute path from your own directory.

## 1. Edit format (what `edit/` and `ctrl/` must be)

A PEFT LoRA adapter directory: `adapter_config.json` + `adapter_model.safetensors` (+ optional `edit.json` note).
The runner serves it with vLLM (`$R/serve_31b.sh`, `--max-lora-rank 32`) on top of the unedited 4-bit checkpoint, so
the model computes `y = W x + 2 * B (A x)` in bf16 for every module the adapter names; nothing is merged or
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- The brief gives no ports for authors; this file assigns 18400 / 18410 / 18420.
- One GPU hold is limited to 30 minutes by the common rules; the brief's 45 minutes per turn therefore means at
  least two holds, and the wrapper does not count an author's total.
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  not in `traces/`, and that the base run is still in progress (59 of the screening episodes so far).

**Designing weight-based spectral shrinking**
**Controlling orthogonal spectral norms**

 succeeded in 515ms:
sed: -e expression #1, char 4: unterminated address regex
# Gemma 4 31B (QAT w4a16) architecture, as served

Source: `config.json` and the safetensors header of `/home/keith/gemma-v2/models/gemma-4-31b-it-qat-w4a16-ct`
(one file, 23.27 GB, 2009 tensors) and the vLLM 0.19.1 model code that serves it
(`vllm/model_executor/models/gemma4.py`). The lane's forward pass `g31.py` implements exactly this graph; its
agreement with the server is measured in `REPORT.md`.

## Sizes

| item | value |
|---|---|
| layers | 60 |
| residual width d | 5376 |
| MLP width | 21504 neurons per layer (4 d), gated: `gelu_tanh(gate . x) * (up . x)` |
| attention heads | 32 query heads per layer |
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    if a.out:
        json.dump(r, open(a.out, "w"), indent=1)


if __name__ == "__main__":
    main()

**Handling remote script execution**

 succeeded in 352ms:
7:## A. Executive summary
26:## B. Annotated bibliography by thread
28:### Thread 1: LLM- or agent-authored weight edits, WSP, self-modification, hypernetworks
52:### Thread 2: Baking activation steering into weights
85:### Thread 3: Knowledge and model editing
98:### Thread 4: Task arithmetic, merging, training-free transfer
121:### Thread 5: Weight-space interpretability and interpretability agents
148:### Thread 6: Training-free gains on agentic, coding and tool-use tasks
162:### Thread 7: Tooling (see section D for recommendations)
175:### Thread 8: Evaluation practice
190:## C. Ranked edit ideas for raising a Gemma 4 31B coding agent's held-out solve rate (no training)
224:## D. Tooling recommendations for the LLM-author harness
241:## E. Gaps, open questions, and inaccessible sources
| BiCo, Son et al. | 27 May 2026 | https://arxiv.org/abs/2605.28444 | Bilinear (activation × gradient) Procrustes from one forward-backward pass | Beats other transfer methods across width, depth, pretraining (abstract gives no numbers) | Same |
| 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) |
| 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 (1.5–32B) | Overthinking fix if a short donor exists |
| 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 |
| 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 |

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        if (l, mod) in self.override:
            return self.override[(l, mod)]
        return self.base_weight(l, mod)

    def eff_weight(self, l, mod):
        """Base weight plus the attached adapter's delta, fp32 [out, in] (for weight views, not the forward)."""

**Reviewing timing details**

 succeeded in 294ms:
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| 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 |
| 18 | **Singular-value rescaling search** on selected matrices (black-box) | Transformer² (SVF learned by RL) | SVDs; dev tasks | High overfit risk |
| 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 |
| 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 |

General cautions for all of these:
- Embedded steering can partially revert under later fine-tuning.
- Narrow vectors can induce broad misalignment, so run a side-effect and safety battery on every edit.
- 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.

---

"""netops.py: network-wide operations of EditSet (edits.py), for edits of the size real training makes: many layers,
readers and writers, a few directions per matrix, 0.3% to 3% of the whole network. CPU only. Use through EditSet:

    e = EditSet()
    e.write_dir(range(60), D, alpha=1.0)      # every o_proj and down_proj: dW = alpha * P W   (P projects on D)
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HOLD=1680 flock $R/wsp31/gpu0.lock ./sessC.sh r32:8 r64:8 r128:8              # 4e stale2, 5.1
$PY requant_cost.py                                                           # 5.2, CPU
```

**Preparing data capture strategy**
**Analyzing projection methods for writer outputs**

I’m 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’s behavior.

 succeeded in 257ms:
        caps = {c: [] for c in capture}
        hooks = hooks or {}

        def tap(name, l, x):
            if (name, l) in hooks:
                x = hooks[(name, l)](x)
            if name in capture and l in cap_layers:
                caps[name].append(x[cap_pos_t].float().cpu())
            return x

        h = self.emb[ids] * self.normalizer
        if not self.mirror:
            h = self.emb[ids].float() * self.normalizer.float()
        for l in sorted(self.L):
            d, g = self.L[l], self.arch.geom(l)
            m = self.mirror
            wt = (lambda k: d[k]) if m else (lambda k: d[k].float())
            h = tap("resid_pre", l, h)
            x = self.rms(h, wt("input_layernorm"))
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| 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 |
NOTES.md
code
queue
scratch

**Preparing data capture and selection**

 succeeded in 288ms:
#!/usr/bin/env python
"""reqset.py OUT.jsonl [--runs RUN_DIR,...] [--max-len 16000] [--limit N]: build a probe set from the request logs
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RUN_DIR/rebench/shard0_gpu0/task_results.jsonl, `ids` is the prompt of the last model call followed by its
completion, where "last" is the last call of the longest run from the start in which every prompt extends the one
before (the harness rewrites history in some long episodes; such an episode is cut there, and `calls_total` gives
the number of calls it really had). Output: the probeset.py format (one line per episode: trace, run, instance, resolved, n, ids,
points:[{pos, kind, turn, next, exact}]) plus `calls`: one entry per logged model call {start, comp, lp}: the call's
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where the harness has re-rendered the agent's earlier output as history (a newline is added before <channel|> and
tool arguments are re-serialised), so the context is what the model reads back, not literally what it had generated
when it made that choice. Default RUN_DIR: results/wsp31/base/s1_base (tasks of wsp31_screen_v1). Refuses any path
that names a sealed set."""
import argparse
import json
import os
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+set -euo pipefail
+. /home/keith/gemma-v2/env.sh
+export WSP31_WORK=$R/wsp31/authors/gpt/scratch
+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8
+export PYTHONDONTWRITEBYTECODE=1
+date -Is
+$PY $R/wsp31/authors/gpt/code/author_capture.py capture
+date -Is

 succeeded in 6721ms:
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episodes 43 fit 32

diff --git a/author_capture.py b/author_capture.py
new file mode 100644
index 0000000000000000000000000000000000000000..0435fa6792dc75e6d5c1ba8f68c77632c6f45a69
--- /dev/null
+++ b/author_capture.py
@@ -0,0 +1,67 @@
+import os, sys, json, hashlib, time
+from pathlib import Path
+import torch
+T='/home/keith/gemma-v2/wsp31/tools'
+A=Path('/home/keith/gemma-v2/wsp31/authors/gpt')
+sys.path.insert(0,T)
+import g31
+torch.set_num_threads(8)
+
+def spread(xs,n):
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+export WSP31_WORK=$R/wsp31/authors/gpt/scratch
+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8
+export PYTHONDONTWRITEBYTECODE=1
+date -Is
+$PY $R/wsp31/authors/gpt/code/author_capture.py capture
+date -Is

**Managing task timing and resource setup**

 succeeded in 264ms:
---
id: 0009
date: 2026-11-12
author: claude
track: edit
[line removed by the dashboard scrubber]
status: queued
set: wsp31_screen_v1
batch: -
verdict: -
result: -
---

## Hypothesis

In the unedited batch b001 (three identical arms, 61 episodes finished when read) 14 of the 28 failures end at the
7.5-minute session limit, at least 10 of them with an empty patch and 8 of those without a single file edit (at 110
episodes, 9:40 PM ET: solved 44%, at the limit 35%, empty patch 25%). At about
[line removed by the dashboard scrubber]
[... 347 lines cut ...]
+export WSP31_WORK=$R/wsp31/authors/gpt/scratch
+export OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 OPENBLAS_NUM_THREADS=8
+export PYTHONDONTWRITEBYTECODE=1
+date -Is
+$PY $R/wsp31/authors/gpt/code/author_capture.py capture
+date -Is

**Reviewing failure traces**

 succeeded in 3619ms:

TASK gawel__pyquery.811cd048.lm_rewrite__o1v2xcun longest 3939 calls 8
BEGIN <|channel>thought
Wait, I see something interesting in `_merge_original_parts`.

```python
def _merge_original_parts(parts):
    """Merge adjacent string parts in the array while preserving None and True values."""
    if not parts:
        return []
    
    result = []
    current_text = None
    
    for part in parts:
        if isinstance(part, str):
            # If we have a string part
            if current_text is None:
                # Start a new text segment
[... 211 lines cut ...]
+    print('MIDDLE',tok.decode(r['ids'][s+800:s+1000]))
+    print('END',tok.decode(r['ids'][e-150:e]))
+    if sum(1 for _ in [])==1:break
+    # two failure traces suffice for a qualitative check
+    globals()['shown']=globals().get('shown',0)+1
+    if shown==2:break

**Waiting for GPU availability**

 succeeded in 259ms:
COMMAND            PID PATH
python3           2809 /run/snapd/ns...
Runner.Listener   4473 /runner/_diag/Runner_20261112-225725-utc.log
containerd        3053 /run/snapd/ns...
dockerd           3797 /...
snapd             2741 /...
dockerd           3797 /...
flock           555524 /home/keith/gemma-v2/wsp31/gpu0.lock
flock           502650 /home/keith/gemma-v2/wsp31/gpu0.lock
flock           394515 /home/keith/gemma-v2/wsp31/gpu0.lock
containerd        3053 /...
pipewire          3157 /run/user/1000/pipewire-0.lock
pipewire          3157 /run/user/1000/pipewire-0-manager.lock
dockerd           3797 /...
containerd        3053 /...
nvidia-persiste   2736 /run/snapd/ns...
cron              2742 /run/snapd/ns...
dockerd           3797 /...
dockerd           3797 /...
[... 564 lines cut ...]
+            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)])
+            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)
+            print(str(d),'CAUSAL',json.dumps(r['summary']),r['verdict'],flush=True)
+        r=target(m,str(d),limit=args.max_pos,traces=args.traces)
+        json.dump(r,open(d.parent/(d.name+'_target.json'),'w'),indent=2)
+        print(str(d),'TARGET',json.dumps(r['summary']),flush=True)
+
+if __name__=='__main__':main()

 succeeded in 313ms:
diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,11 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
+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.
diff --git a/author_capture.py b/author_capture.py
new file mode 100644
[... 243 lines cut ...]
+        print(str(d),'TARGET',json.dumps(r['summary']),flush=True)
+
+if __name__=='__main__':main()

**Managing CPU and GPU synchronization**
**Ensuring reproducible builds and tool versioning**

I’m 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.

 succeeded in 310ms:
    PID     ELAPSED COMMAND
 394515       43:19 flock
 502650       13:37 flock
 555524       02:13 flock
  3797 WRITE  /...
  2741 WRITE  /...
  3797 WRITE  /...
555524 WRITE* /home/keith/gemma-v2/wsp31/gpu0.lock
502650 WRITE* /home/keith/gemma-v2/wsp31/gpu0.lock
394515 WRITE  /home/keith/gemma-v2/wsp31/gpu0.lock
  3053 WRITE  /...
  3157 WRITE  /run/user/1000/pipewire-0.lock
  3157 WRITE  /run/user/1000/pipewire-0-manager.lock
  3797 WRITE  /...
  3053 WRITE  /...
  2736 WRITE  /run/snapd/ns...
  2742 WRITE  /run/snapd/ns...
  3797 WRITE  /...
  3797 WRITE  /...
[... 342 lines cut ...]
+        r=target(m,str(d),limit=args.max_pos,traces=args.traces)
+        json.dump(r,open(d.parent/(d.name+'_target.json'),'w'),indent=2)
+        print(str(d),'TARGET',json.dumps(r['summary']),flush=True)
+
+if __name__=='__main__':main()

**Analyzing job wait and process details**
**Evaluating projection techniques**

 succeeded in 742ms:
568681
    PID     ELAPSED COMMAND
 505420       13:13 timeout 1740 ./job3.sh

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,11 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
[... 310 lines cut ...]
+torch.set_num_threads(8)
+src,out,dose=sys.argv[1:];dose=float(dose)
+for arm in ['edit','ctrl']:
+    e=EditSet();e.load(str(Path(src)/arm));e.scale_to(net_rel=dose)
+    e.save(str(Path(out)/arm),note={'source':src,'target_net_rel':dose,'scaled_stored_factors':True})
+print('SCALED',src,out,dose)

**Inspecting tool process status**

 succeeded in 246ms:
    PID     ELAPSED COMMAND
 502650       14:32 flock /home/keith/gemma-v2/wsp31/gpu0.lock ./sessE.sh
-rw-r--r-- 1 keith keith 20K Nov 12 20:35 /home/keith/gemma-v2/wsp31/tools/TOOLS.md
# wsp31 queue status (2026-11-12 21:50:17 EST)

Rule: not fixed yet (waits for the unedited baseline, ledger record 0001)

## Batches

| batch | stage | gpu | state | arms | rows | note |
|---|---|---|---|---|---|---|
| b001 | s1 | 1 | running | base aa zero | 127 |  |

## Edits

/home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md
/home/keith/gemma-v2/wsp31/authors/gpt/code/author_capture.py
/home/keith/gemma-v2/wsp31/authors/gpt/code/build_project.py
/home/keith/gemma-v2/wsp31/authors/gpt/code/probe_job.sh
[... 332 lines cut ...]
+torch.set_num_threads(8)
+src,out,dose=sys.argv[1:];dose=float(dose)
+for arm in ['edit','ctrl']:
+    e=EditSet();e.load(str(Path(src)/arm));e.scale_to(net_rel=dose)
+    e.save(str(Path(out)/arm),note={'source':src,'target_net_rel':dose,'scaled_stored_factors':True})
+print('SCALED',src,out,dose)

**Reviewing tool versions and snapshots**

 succeeded in 238ms:
    flock $R/wsp31/gpu0.lock timeout 1500 $PY $T/causal.py --adapter queue/my-slug/edit --out probe_edit.json
    # checker + probe + verdict (FAIL / NO-OP / BROKEN / ACTIVE); writes DIR/validate.json; add --port inside a session:
    flock $R/wsp31/gpu0.lock timeout 1500 $PY $T/validate.py queue/my-slug/edit

All three use the labelled decision points of `data/probe_screen.jsonl` (section 5; options `--traces 12
--per-trace 8 --max-pos 8000 --kinds turn,step,think,tool`) and report, per kind of point: mean change of the
[line removed by the dashboard scrubber]
and the probability mass on `<|channel>` (think), `<|tool_call>` and `<turn|>`. `causal.py` also takes hook
interventions instead of an adapter, to test a mechanism before building the edit: `--ablate L:J,...`,
[line removed by the dashboard scrubber]
Run several edits in one session: put the commands in a script and pass the script as CMD. ACTIVE means "moves the
distribution without wrecking it", not "better": only rollouts measure task success.
The times are estimates until the first runs finish. The causal base cache is about 1 MB per point
(`$WSP31_WORK/data/cache`): delete it when done.

Weight views (CPU, base model, all run as written today):

[line removed by the dashboard scrubber]
    $PY $T/wv_neuron.py 40 1234 [--layers 38-42]         # 6 s: norms, write lens, read lens, nearest neurons
[... 838 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

 succeeded in 418ms:
#!/usr/bin/env python
[line removed by the dashboard scrubber]
--project-out] [--traces 12] [--per-trace 8] [--max-pos 8000] [--kinds turn,step,think,tool] [--out FILE.json]:
causal check without a server (GPU0 through this lane's exact forward pass, run under the gpu0 lock; about 1 minute
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
probability mass on <|channel> (think), <|tool_call> and <turn|> (and on the six tool names at tool points), and
[line removed by the dashboard scrubber]
exactly as the server would apply it (the offline form of the fast probe); --overlay does the same for a checkpoint
overlay directory built with overlay.py; --ablate zeroes neuron activations;
--scale multiplies them; --dir adds alpha * |h| * unit(v) to the residual stream after the given layer(s) at every
position except BOS (v from a .pt file, e.g. one saved by av_contrast.py), or with --project-out removes the
component along v instead. The same interventions run on the model with the adapter applied if both are given.
--champion current|DIR (or WSP31_CHAMPION): the reference arm is the model with the champion adapter and every
intervention is applied on top of it (an --adapter as the exact sum champion + adapter).
"""
import argparse
import hashlib
[... 423 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Importing new champ dependencies**

 succeeded in 229ms:
#!/usr/bin/env python
"""champ.py info | path | maxrank [--champion current|DIR] | stack EDIT_DIR [--champion current|DIR] [--out DIR]
The champion is the adapter that holds every promoted edit (wsp31/queue/champion.json, written by the runner; this
tool only reads it). While one exists the runner serves the reference arm as the champion and every edit and control
as champion + entry, stacked exactly by stack_exact.py. This file gives the pre-test tools the same view:
`info` prints the current generation, its adapter and rank; `path` the champion directory (or none); `maxrank` prints the --max-lora-rank a server needs for
champion + a rank-32 entry (what gpu0_session.sh --champion sets); `stack` writes champion + EDIT_DIR with the
runner's own stack_exact.py (cached by content under $WSP31_WORK/data/champ) and prints the directory.
As a library: resolve(arg) -> champion directory or None ("current" reads the runner's file; None, "none" and
generation 0 mean the unedited model), stacked(champion, edit) -> directory to serve, serve_ref(port, champion) ->
model name of the reference arm ("base", or the champion loaded under a content-hash name). CPU only except
serve_ref. A champion named in the environment variable WSP31_CHAMPION is the default of every --champion option."""
import hashlib
import json
import os
import shutil
import subprocess
import sys

[... 946 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

 succeeded in 264ms:
    PID    PGID     ELAPSED COMMAND
 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
 568681  568681       01:43 timeout 4000 bash /home/keith/gemma-v2/wsp31/authors/gpt/code/after_capture.sh
572224

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,11 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
[... 377 lines cut ...]
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Managing model snapshot saving**
**Reviewing model testing and data validation**
**Clarifying build and scaling details**
**Ensuring reproducible scaling and testing**

I’m focusing on making tensor operations deterministic across CPUs with numpy and torchBLAS, setting up a build queue with pretests and artifact checks. I’m tracking predictions and uncertainties carefully, preparing configurations to finalize builds and readiness checks before rollout.

 succeeded in 324ms:
    net = sum(v * v for v in norms.values()) ** 0.5
    res = {}
    for it in a.items:
        name, spec = it.split("=", 1)
        cur, _, prev = spec.partition("::")
        c = load(cur)
        p = load(prev) if prev else None
        rows, sq, wsq = [], 0.0, 0.0
[line removed by the dashboard scrubber]
            if k not in norms:
                sys.exit(f"{name}: no base norm for {k}")
            fro, top, srank, prank = measure(L, R)
            rows.append(dict(mod=k, fro=fro, rel=fro / norms[k], top_rel=top / norms[k], stable_rank=srank, part_rank=prank))
            sq += fro ** 2
            wsq += norms[k] ** 2
        rows = [r for r in rows if r["fro"] > 0]
        if not rows:
            sys.exit(f"{name}: no module is changed")
        rel = [r["rel"] for r in rows]
[... 938 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

 succeeded in 1027ms:
usage: probe_project.py [-h] [--traces TRACES] [--causal]
                        [--causal-traces CAUSAL_TRACES] [--max-pos MAX_POS]
                        dirs [dirs ...]

positional arguments:
  dirs

options:
  -h, --help            show this help message and exit
  --traces TRACES
  --causal
  --causal-traces CAUSAL_TRACES
  --max-pos MAX_POS

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda
--- /dev/null
+++ b/NOTES.md
[... 444 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Optimizing update frequency and waiting**

 succeeded in 271ms:
    PID     ELAPSED COMMAND
 505420       17:20 timeout 1740 ./job3.sh
8.0K	/home/keith/gemma-v2/wsp31/authors/gpt/scratch
30M	/home/keith/gemma-v2/wsp31/authors/gpt/code

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,11 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
[... 436 lines cut ...]
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing capture and normalization details**
**Documenting projection scaling and normalization**

 succeeded in 294ms:
diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,11 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
+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.
diff --git a/after_capture.sh b/after_capture.sh
new file mode 100644
[... 570 lines cut ...]
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Reviewing model loading and workflow details**
**Confirming execution and resource handling**

 exited 1 in 225ms:
[line removed by the dashboard scrubber]
bash: -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'

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..8036883f1ee0218d43967782cdabe45fc3722cda
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,11 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[... 1175 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

 succeeded in 250ms:
    PID     ELAPSED COMMAND
 505420       20:02 timeout 1740 ./job3.sh

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[... 1207 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

 succeeded in 1241ms:
[line removed by the dashboard scrubber]
CHECK TASKS
[task] False {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}
[task] True {'early': 64, 'late': 64, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}
cool-RR__PySnooper.57472b46.lm_rewrite__g0pq8oow True {'early': 64, 'late': 64, 'end': 6, 'non': 24, 'think': 6, 'tool': 6}
gweis__isodate.17cb25eb.func_basic__ydtogylj True {'early': 64, 'late': 0, 'end': 11, 'non': 24, 'think': 11, 'tool': 11}
[task] False {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}
[task] False {'early': 64, 'late': 0, 'end': 17, 'non': 24, 'think': 17, 'tool': 17}
[task] True {'early': 64, 'late': 64, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}
[task] True {'early': 64, 'late': 64, 'end': 8, 'non': 24, 'think': 8, 'tool': 8}
[task] True {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}
jd__tenacity.0d40e76f.combine_module__jua0momz False {'early': 64, 'late': 0, 'end': 12, 'non': 24, 'think': 12, 'tool': 12}
[task] True {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7}

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
[... 617 lines cut ...]
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Reviewing data and IP address concerns**
**Summarizing task preparation and execution**

 exited 1 in 226ms:
    PID     ELAPSED COMMAND
 505420       21:01 timeout 1740 ./job3.sh
ls: cannot access '/home/keith/gemma-v2/wsp31/queue/CHAMPION.md': No such file or directory
ls: cannot access '/home/keith/gemma-v2/wsp31/queue/champion.json': No such file or directory

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
[... 1245 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Updating on GPU capture status**

 succeeded in 446ms:
2026-11-12T21:59:48-05:00
    PID     ELAPSED COMMAND
    PID     ELAPSED COMMAND
 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

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
[... 610 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Tracking job and tool status**

 succeeded in 318ms:
0 [task] fit {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7} seconds 10
1794538788

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[... 608 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Tracking pipeline timing**

 succeeded in 292ms:
5 gawel__pyquery.811cd048.lm_rewrite__o1v2xcun fit {'early': 64, 'late': 64, 'end': 5, 'non': 24, 'think': 5, 'tool': 5} seconds 58
6 benoitc__gunicorn.bacbf8aa.func_basic__3napqcbj fit {'early': 64, 'late': 64, 'end': 12, 'non': 24, 'think': 12, 'tool': 12} seconds 68
7 Mimino666__langdetect.a1598f1a.func_basic__rku38xih fit {'early': 64, 'late': 0, 'end': 5, 'non': 24, 'think': 5, 'tool': 5} seconds 77
2026-11-12T21:59:48-05:00

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
[... 1307 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

 succeeded in 249ms:
12 Mimino666__langdetect.a1598f1a.lm_rewrite__dk9wx21q fit {'early': 64, 'late': 0, 'end': 5, 'non': 24, 'think': 5, 'tool': 5} seconds 123
13 [task] fit {'early': 64, 'late': 64, 'end': 5, 'non': 24, 'think': 5, 'tool': 5} seconds 133

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[... 668 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Ensuring periodic user updates**

 succeeded in 238ms:
19 [task] fit {'early': 64, 'late': 64, 'end': 6, 'non': 24, 'think': 6, 'tool': 6} seconds 193
20 PyCQA__flake8.cf1542ce.lm_rewrite__yh5du3ns fit {'early': 64, 'late': 0, 'end': 10, 'non': 24, 'think': 10, 'tool': 10} seconds 203

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[... 668 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Noting annotation difficulty**

 succeeded in 283ms:
31 [task] fit {'early': 64, 'late': 0, 'end': 16, 'non': 24, 'think': 16, 'tool': 16} seconds 310
32 [task] check {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7} seconds 320
33 [task] check {'early': 64, 'late': 64, 'end': 7, 'non': 24, 'think': 7, 'tool': 7} seconds 330
SCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-010 0.0011
SCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/late-100 0.01
built close 10

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
[... 672 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Assessing build performance**

 succeeded in 3325ms:
OK edit: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.008454 at 38.down_proj
OK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.008452 at 38.o_proj
mine {"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}
  by type {'down_proj': 0.00845, 'o_proj': 0.00845}
  by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]
control {"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}
  by type {'down_proj': 0.00845, 'o_proj': 0.00845}
  by depth (10-layer bands) [0.00845, 0.00845, 0.00845, 0.00845, 0.00845, 0.00845]

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
+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.
+
[... 674 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing matrix fitting parameters**

 succeeded in 1308ms:
SCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-010 0.0011
SCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-100 0.01
built shift 10
35 gweis__isodate.17cb25eb.func_basic__ydtogylj check {'early': 64, 'late': 0, 'end': 11, 'non': 24, 'think': 11, 'tool': 11} seconds 351
36 [task] check {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7} seconds 361
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
direction late o_proj fit 14 check 0 AUC None
direction late down_proj fit 14 check 0 AUC None
direction close o_proj fit 32 check 0 AUC None
direction close down_proj fit 32 check 0 AUC None
direction shift o_proj fit 32 check 0 AUC None
direction shift down_proj fit 32 check 0 AUC None

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
[... 678 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing task fit and checks**

 succeeded in 1005ms:
41 jd__tenacity.0d40e76f.combine_module__jua0momz check {'early': 64, 'late': 0, 'end': 12, 'non': 24, 'think': 12, 'tool': 12} seconds 410
42 [task] check {'early': 64, 'late': 0, 'end': 7, 'non': 24, 'think': 7, 'tool': 7} seconds 421
DONE 43 seconds 421
SAVED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-033 net 0.0033000001100329393
SCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-010 0.0011
SCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-100 0.01
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
direction shift o_proj fit 32 check 11 AUC 1.0
direction shift down_proj fit 32 check 11 AUC 1.0
{"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}}}
2026-11-12T22:06:54-05:00

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
[... 683 lines cut ...]
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing newline feature confounds**
**Developing boundary capture script**
**Evaluating matrix projection risks**

 succeeded in 4275ms:
early n 2752 [(236761, '.', 130), (107, '\n', 118), (236779, '_', 99), (2165, '▁`', 98), (236929, '`', 90), (108, '\n\n', 53), (236764, ',', 52), (506, '▁the', 51)]
late n 1120 [(107, '\n', 54), (2165, '▁`', 49), (236761, '.', 48), (236779, '_', 46), (236929, '`', 29), (236764, ',', 22), (563, '▁is', 19), (108, '\n\n', 18)]
end 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)]
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
late-033 edit 0.0495 0.0000 - - - - -
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
direction shift o_proj fit 32 check 11 AUC 1.0
direction shift down_proj fit 32 check 11 AUC 1.0

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
[... 694 lines cut ...]
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing model end-of-sequence handling**
[line removed by the dashboard scrubber]

 succeeded in 296ms:
"""think_job.py (author claude): one GPU-0 hold. Stage A capture class means at thought positions, stage B fit gates
and build a dose grid of adapters, stage C teacher-forced evaluation on held-out episodes (p(<channel|>) at every
[line removed by the dashboard scrubber]
Usage: think_job.py [--dry]   (--dry: CPU smoke test of the builders with synthetic statistics)
"""
import json
import os
import random
import sys
import time

import torch

T0 = time.time()
A_DIR = "/home/keith/gemma-v2/wsp31/authors/claude"
sys.path.insert(0, "/home/keith/gemma-v2/wsp31/tools")
sys.path.insert(0, A_DIR + "/code")
import thinklib as tl  # noqa: E402
from edits import EditSet  # noqa: E402
[... 824 lines cut ...]
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing model iteration timings and scoring**
**Verifying model output details**

 succeeded in 993ms:
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
direction shift o_proj fit 32 check 11 AUC 1.0
direction shift down_proj fit 32 check 11 AUC 1.0

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
+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.
+
[... 693 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Optimizing progress report format**

 succeeded in 373ms:
{
  "summary": {
    "early": {
      "n": 192,
      "d_lp101": 2.6376733208696046,
      "d_next": -0.00014787576785672366,
      "p101_base": 0.0011136960625468479,
      "p101_edit": 0.0006932861510382696,
      "top_same": 0.9895833333333334,
      "base_close": 0.0,
      "edit_close": 0.0
    },
    "late": {
      "n": 48,
      "d_lp101": 1.8523318096995354,
      "d_next": -0.011310754061877018,
      "p101_base": 0.0033744544368703813,
      "p101_edit": 0.0035292633449366564,
      "top_same": 1.0,
[... 1591 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

 succeeded in 1021ms:
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 - - - - -
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
direction shift o_proj fit 32 check 11 AUC 1.0
direction shift down_proj fit 32 check 11 AUC 1.0

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
[... 1614 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

 succeeded in 228ms:
661470

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..0401b52f3888381d60df991e85e44890d4ae9949
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,13 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[line removed by the dashboard scrubber]
[... 794 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Summarizing status update**

 succeeded in 323ms:
diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[line removed by the dashboard scrubber]
+
[line removed by the dashboard scrubber]
[... 1613 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

 succeeded in 1136ms:
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750
close-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
direction shift o_proj fit 32 check 11 AUC 1.0
direction shift down_proj fit 32 check 11 AUC 1.0
  3053 WRITE  /run/snapd/ns...
  3797 WRITE  /...
661470 WRITE* /home/keith/gemma-v2/wsp31/gpu0.lock
572224 WRITE  /home/keith/gemma-v2/wsp31/gpu0.lock
  2741 WRITE  /...
  3797 WRITE  /...
  3053 WRITE  /...
  3157 WRITE  /run/user/1000/pipewire-0.lock
[... 822 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing model prediction adjustments**

 succeeded in 1104ms:
late edit coeff min median max 0.08148228570283454 0.31278925415732156 0.5544792556798959 over1 0
late ctrl coeff min median max 0.5661683079594224 0.6206043955770293 0.6595122226335614 over1 0
close edit coeff min median max 0.04348718403280872 0.2479126983573802 0.4673621695319998 over1 0
close ctrl coeff min median max 0.5799458624348979 0.6209056368863561 0.6620933417976254 over1 0
shift edit coeff min median max 0.03271970485534073 0.08206372436355469 0.21854524827452473 over1 0
shift ctrl coeff min median max 0.032719705255147745 0.08206372705266882 0.2185452429832467 over1 0

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
[... 815 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing model parameter adjustments**

 succeeded in 1006ms:
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750
close-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
shift-033 edit 0.3429 0.1250 - - - - -
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
direction shift o_proj fit 32 check 11 AUC 1.0
direction shift down_proj fit 32 check 11 AUC 1.0
141M	/home/keith/gemma-v2/wsp31/authors/gpt/scratch

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
[... 1686 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

 succeeded in 2241ms:
FROZEN 22 files
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750
close-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
shift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438
shift-033 ctrl 0.0915 0.0000 - - - - -
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
direction shift o_proj fit 32 check 11 AUC 1.0
direction shift down_proj fit 32 check 11 AUC 1.0

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
[... 849 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Reviewing summary details**

 succeeded in 257ms:
{
  "summary": {
    "early": {
      "n": 192,
      "d_lp101": 11.004070102547606,
      "d_next": -0.09775296616233042,
      "p101_base": 0.0011136960625468479,
      "p101_edit": 0.009153911546494165,
      "top_same": 0.9479166666666666,
      "base_close": 0.0,
      "edit_close": 0.010416666666666666
    },
    "late": {
      "n": 48,
      "d_lp101": 10.733612932264805,
      "d_next": -0.09601258077702646,
      "p101_base": 0.0033744544368703813,
      "p101_edit": 0.020738721136966638,
      "top_same": 0.9791666666666666,
[... 912 lines cut ...]
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing dose shift strategies**
**Analyzing model shift and selection issues**

 succeeded in 1073ms:
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750
close-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
shift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438
shift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
direction shift o_proj fit 32 check 11 AUC 1.0
direction shift down_proj fit 32 check 11 AUC 1.0

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
[... 1723 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

 succeeded in 337ms:
diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[line removed by the dashboard scrubber]
+
[line removed by the dashboard scrubber]
[... 845 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing timing and staging constraints**

 succeeded in 987ms:
{
  "summary": {
    "early": {
      "n": 192,
      "d_lp101": -0.9827748350799084,
      "d_next": -0.009292970323619679,
      "p101_base": 0.0011136960625468479,
      "p101_edit": 0.0007708983670910558,
      "top_same": 0.96875,
      "base_close": 0.0,
      "edit_close": 0.0
    },
    "late": {
      "n": 48,
      "d_lp101": -0.730097621679306,
      "d_next": -0.017578468136315067,
      "p101_base": 0.0033744544368703813,
      "p101_edit": 0.013296872646650098,
      "top_same": 0.9791666666666666,
[... 1851 lines cut ...]
+R=/home/keith/gemma-v2
+A=$R/wsp31/authors/gpt
+mkdir -p "$A/code/tool_snapshot/data"
+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
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[line removed by the dashboard scrubber]
+
[line removed by the dashboard scrubber]
+
[... 895 lines cut ...]
built close 50
built close 60
SAVED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/rebuild/writer-close-amplify-033 net 0.0033000000906924414
OK edit: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.008453 at 29.down_proj
OK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.008451 at 53.o_proj

**Handling tool session output and file immutability**
**Managing file permissions during freezing**

 succeeded in 987ms:
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750
close-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479
late-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
late-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229
late-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688
shift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438
shift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
direction shift o_proj fit 32 check 11 AUC 1.0
direction shift down_proj fit 32 check 11 AUC 1.0
-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

diff --git a/NOTES.md b/NOTES.md
[... 900 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Reviewing prediction details**

 succeeded in 239ms:
{
  "summary": {
    "early": {
      "n": 192,
      "d_lp101": 6.028552142282327,
      "d_next": -0.023362048828092046,
      "p101_base": 0.0011136960625468479,
      "p101_edit": 0.0002198215558971106,
      "top_same": 0.9583333333333334,
      "base_close": 0.0,
      "edit_close": 0.0
    },
    "late": {
      "n": 48,
      "d_lp101": 4.633474034567674,
      "d_next": -0.03691828452173832,
      "p101_base": 0.0033744544368703813,
      "p101_edit": 0.00240880333192102,
      "top_same": 0.9791666666666666,
[... 960 lines cut ...]
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing mechanism adjustments**
**Evaluating timing and GPU budget**
**Analyzing matrix rank reduction and control comparisons**
**Planning probe job execution**

 succeeded in 962ms:
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750
close-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479
late-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583
late-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
late-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229
late-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688
shift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438
shift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
direction shift o_proj fit 32 check 11 AUC 1.0
direction shift down_proj fit 32 check 11 AUC 1.0

diff --git a/NOTES.md b/NOTES.md
[... 900 lines cut ...]
+mkdir -p "$A/code/tool_snapshot/data"
+for f in g31.py edits.py netops.py adapters.py causal.py plib.py probeset.py wlib.py train_size.py champ.py stack_exact.py; do
+  cp "$R/wsp31/tools/$f" "$A/code/tool_snapshot/$f"
+done
+cp "$R/wsp31/tools/data/fro_norms.json" "$A/code/tool_snapshot/data/fro_norms.json"
+sha256sum "$A"/code/tool_snapshot/*.py "$A/code/tool_snapshot/data/fro_norms.json" > "$A/code/tool_snapshot/SHA256SUMS"

**Analyzing timing and confidence**

 succeeded in 3196ms:
BIT_EXACT writer-close-amplify-033 all six adapter files
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750
close-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479
close-100 edit 4.3433 1.0000 3.2233 3.4105 1.6686 -9.3901 0.1562
close-100 ctrl 0.0049 0.0000 - - - - -
late-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583
late-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
late-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229
late-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688
shift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438
shift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
direction shift o_proj fit 32 check 11 AUC 1.0
[... 923 lines cut ...]
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Analyzing threshold candidates and timing constraints**
**Analyzing candidate selection and thresholds**
**Analyzing dose queue optimization**

 succeeded in 2931ms:
SCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-050 0.005
SCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-066 0.0066

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[... 927 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Analyzing timing and processing constraints**

 exited 1 in 1590ms:
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750
close-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479
close-100 edit 4.3433 1.0000 3.2233 3.4105 1.6686 -9.3901 0.1562
close-100 ctrl 0.0049 0.0000 0.3535 0.1164 0.1057 -0.0995 0.9167
late-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583
late-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
late-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229
late-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688
shift-010 edit 0.0482 0.0000 1.8937 1.8826 1.0539 0.0298 0.9375
shift-010 ctrl 0.0082 0.0000 - - - - -
shift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438
shift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
direction close o_proj fit 32 check 11 AUC 1.0
direction close down_proj fit 32 check 11 AUC 1.0
[... 948 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Analyzing format adjustments**

 succeeded in 413ms:
{
  "summary": {
    "early": {
      "n": 192,
      "d_lp101": 1.8936648247763515,
      "d_next": -0.003747232297454476,
      "p101_base": 0.0011136960625468479,
      "p101_edit": 0.004267279159449108,
      "top_same": 0.9895833333333334,
      "base_close": 0.0,
      "edit_close": 0.005208333333333333
    },
    "late": {
      "n": 48,
      "d_lp101": 1.8826098541418712,
      "d_next": -0.03133558474177963,
      "p101_base": 0.0033744544368703813,
      "p101_edit": 0.017632587668950653,
      "top_same": 0.9791666666666666,
[... 999 lines cut ...]
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Analyzing test selection and fallback strategies**
**Optimizing fallback test selection**

 succeeded in 1579ms:
-rw-rw-r-- 1 keith keith 11 Nov 12 22:22 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold1_end
-rw-rw-r-- 1 keith keith 11 Nov 12 22:22 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold2_start
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750
close-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479
close-100 edit 4.3433 1.0000 3.2233 3.4105 1.6686 -9.3901 0.1562
close-100 ctrl 0.0049 0.0000 0.3535 0.1164 0.1057 -0.0995 0.9167
late-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583
late-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
late-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229
late-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688
shift-010 edit 0.0482 0.0000 1.8937 1.8826 1.0539 0.0298 0.9375
shift-010 ctrl 0.0082 0.0000 0.3489 0.4458 -0.0595 -0.0698 0.9271
shift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438
shift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
[... 954 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Analyzing script fallback timing**

 succeeded in 259ms:
1794538788
1794540169
1794540169
SCALED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-033 /home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-100 0.01

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
[... 1890 lines cut ...]
+for arm in ['edit','ctrl']:
+    for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

 succeeded in 991ms:
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750
close-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479
close-050 edit 0.1380 0.1250 0.6016 0.6031 1.3959 -1.1244 0.7188
close-050 ctrl 0.0042 0.0000 0.1615 0.0853 0.0666 -0.0852 0.9271
close-100 edit 4.3433 1.0000 3.2233 3.4105 1.6686 -9.3901 0.1562
close-100 ctrl 0.0049 0.0000 0.3535 0.1164 0.1057 -0.0995 0.9167
late-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583
late-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
late-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229
late-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688
shift-010 edit 0.0482 0.0000 1.8937 1.8826 1.0539 0.0298 0.9375
shift-010 ctrl 0.0082 0.0000 0.3489 0.4458 -0.0595 -0.0698 0.9271
shift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438
shift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
direction late down_proj fit 14 check 4 AUC 0.81875
[... 956 lines cut ...]
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Reviewing pipeline status and readiness**
**Verifying build integrity**
**Confirming data completeness**

 exited 1 in 1016ms:
candidate arm causal_KL tool_flip early_dclose late_dclose end_dclose non_dnext non_top_same
close-033 edit 0.0473 0.0625 -0.9828 -0.7301 0.9558 -0.4479 0.8750
close-033 ctrl 0.0022 0.0000 0.0824 0.0642 0.0157 -0.0342 0.9479
close-050 edit 0.1380 0.1250 0.6016 0.6031 1.3959 -1.1244 0.7188
close-050 ctrl 0.0042 0.0000 0.1615 0.0853 0.0666 -0.0852 0.9271
close-066 edit 0.4195 0.1250 2.2131 2.1690 1.5150 -2.9264 0.5417
close-100 edit 4.3433 1.0000 3.2233 3.4105 1.6686 -9.3901 0.1562
close-100 ctrl 0.0049 0.0000 0.3535 0.1164 0.1057 -0.0995 0.9167
late-010 edit 0.0112 0.0000 0.8819 0.4466 -0.0872 -0.0158 0.9583
late-010 ctrl 0.0016 0.0000 -0.0215 0.0093 -0.0149 -0.0260 0.9792
late-033 edit 0.0495 0.0000 2.6377 1.8523 -0.1712 0.0025 0.9479
late-033 ctrl 0.0026 0.0000 -0.0325 -0.0270 -0.0314 -0.0255 0.9688
late-100 edit 0.1209 0.1250 6.0286 4.6335 0.0383 0.0719 0.8229
late-100 ctrl 0.0102 0.0000 -0.1847 0.0115 -0.0984 -0.0602 0.9688
shift-010 edit 0.0482 0.0000 1.8937 1.8826 1.0539 0.0298 0.9375
shift-010 ctrl 0.0082 0.0000 0.3489 0.4458 -0.0595 -0.0698 0.9271
shift-033 edit 0.3429 0.1250 11.0041 10.7336 1.9962 -0.1668 0.8438
shift-033 ctrl 0.0915 0.0000 2.0344 2.1227 -0.1803 -0.1027 0.8750
direction late o_proj fit 14 check 4 AUC 0.9447916666666667
[... 1943 lines cut ...]
+for arm in ['edit','ctrl']:
+    for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

 exited 1 in 1156ms:
{
  "close-033": {
    "tool_arguments": {
      "n": 14,
      "d_next": 0.012151789595740021,
      "top_same": 1.0,
      "edit_close": 0.0
    },
    "read_context": {
      "n": 82,
      "d_next": -0.5264531220523944,
      "top_same": 0.8536585365853658,
      "edit_close": 0.0
    }
  },
  "close-050": {
    "tool_arguments": {
      "n": 14,
      "d_next": 0.025977706600640107,
[... 1051 lines cut ...]

**Evaluating dose ladder timing**
**Analyzing dosing precision and model output**
**Analyzing gating and control projections**
**Reviewing GPU time and control loading**
**Describing control matrix building**
**Explaining gate absence in projections**
**Clarifying control conditions**

 succeeded in 262ms:
{
  "criteria": "Both causal verdicts not BROKEN, edit post-thought top unchanged >= .96 and tool top unchanged >= .85. Largest dose passing these checks.",
  "audit": [
    {
      "candidate": "close-050",
      "accepted": true,
      "causal_kl": 0.1380334347486496,
      "post_thought_top_same": 1.0,
      "tool_top_same": 0.9642857142857143,
      "non_dnext": -1.1244010051967261
    },
    {
      "candidate": "close-066",
      "accepted": false,
      "causal_kl": 0.41947901248931885,
      "post_thought_top_same": 0.9285714285714286,
      "tool_top_same": 0.9285714285714286,
      "non_dnext": -2.9263803373177475
    }
[... 988 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

[line removed by the dashboard scrubber]

 succeeded in 240ms:
{
  "summary": {
    "early": {
      "n": 281,
      "base_p": 0.00011395868850710353,
      "arm_p": 0.0013835583351686886,
      "d_lpclose": -0.8810190984787042,
      "d_lpnext": -0.02785311333556094,
      "base_top_close": 0.0,
      "arm_top_close": 0.0,
      "top_same": 0.9501779359430605
    },
    "mid": {
      "n": 266,
      "base_p": 1.2228491952242805e-05,
      "arm_p": 4.919613323566612e-05,
      "d_lpclose": -0.8349174503096961,
      "d_lpnext": -0.049051891110738044,
      "base_top_close": 0.0,
[... 2078 lines cut ...]
+for arm in ['edit','ctrl']:
+    for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

 exited 1 in 299ms:
/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/ctrl_boundary.json
/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/edit_boundary.json
/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-050/ctrl_boundary.json
/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-050/edit_boundary.json
ls: cannot access '/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/shift-010/*boundary.json': No such file or directory
ls: cannot access '/home/keith/gemma-v2/wsp31/authors/gpt/scratch/logs/server_18410.latest.log': No such file or directory

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
[... 995 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Reviewing probe and script setup**

 succeeded in 1015ms:
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
[... 1014 lines cut ...]
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Analyzing shift parameters and GPU budget**
**Analyzing nonlinear threshold effects**
**Analyzing untrained adapter behavior**
**Evaluating hypothesis on combo edits**
**Processing combo builder and monitoring server**

 exited 1 in 211ms:
ls: cannot access '/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/*served.json': No such file or directory
lrwxrwxrwx 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
(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.
(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
[line removed by the dashboard scrubber]
(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
(EngineCore pid=723107) INFO 11-12 22:31:31 [backends.py:[port]] Dynamo bytecode transform time: 10.04 s
(EngineCore pid=723107) INFO 11-12 22:31:38 [backends.py:372] Cache the graph of compile range (1, 8192) for later use

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
+# Author gpt, turn 1 in progress
+
+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.
+
[... 1013 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Clarifying IP logging concerns**

 succeeded in 288ms:
ls: cannot access '/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/*served.json': No such file or directory
                 from /home/keith/gemma-v2/wsp31/authors/gpt/scratch/tmp/tmpm5n8mkak/__triton_launcher.c:2:
/usr/include/features.h:319:10: note: this is the location of the previous definition
  319 | # define _POSIX_C_SOURCE        202405L
      |          ^~~~~~~~~~~~~~~

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
[... 2115 lines cut ...]
+for arm in ['edit','ctrl']:
+    for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

 exited 1 in 244ms:
85:(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
278:(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!
317:(APIServer pid=722747) INFO:     Waiting for application startup.
318:(APIServer pid=722747) INFO:     Application startup complete.
/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/ctrl_served.json
/home/keith/gemma-v2/wsp31/authors/gpt/scratch/candidates/close-033/edit_served.json
cat: /home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold2_end: No such file or directory

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
[... 1050 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Confirming server readiness**

 succeeded in 1094ms:
[line removed by the dashboard scrubber]
close-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}}
[line removed by the dashboard scrubber]
close-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}}
[line removed by the dashboard scrubber]
close-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}}
[line removed by the dashboard scrubber]
close-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}}
[line removed by the dashboard scrubber]
shift-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}}
[line removed by the dashboard scrubber]
shift-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}}

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..c185c4e7a6a7562ca6092ea2c261d8d39a55a351
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,15 @@
[... 2148 lines cut ...]
+for arm in ['edit','ctrl']:
+    for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

 exited 1 in 3044ms:
FROZEN_MANIFEST 23
RECORD_WRITTEN /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-033 words 2334
DRAFT_COMPLETE writer-close-amplify-033
title: Amplify natural thought-ending writes across all layers at 0.33 percent

## Hypothesis

The 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.

[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
revisits process and environment handling. These examples support a time-cost hypothesis, not a claim that the
thoughts are useless. Ledger 0006 reports the broader association between long thoughts and session cutoffs.

This differs from ledger 0007-0010: it changes both writers at every layer and keeps their existing input dependence,
instead of fitting a new neuron gate or scaling a small set of final-layer neurons. PRIOR_E4B reports null or harmful
brevity edits. Here the tested difference is the broad, measured writer contrast and the training-sized dose; that
earlier result remains a reason for the negative end of the prediction interval. No trained adapter supplied a direction.

[... 1191 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Verifying record counts and process flow**

 succeeded in 1830ms:
RECORD_WRITTEN /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-033 words 2334
READY writer-close-amplify-033
1794540855

apply patch
patch: completed
C:\Users\Owner\wsp31_loop\work\gpt\NOTES.md
diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..6d69d966f97f176af5e34e586cfb81fda27235f5
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,17 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
[... 1065 lines cut ...]
+for arm in ['edit','ctrl']:
+    for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..6d69d966f97f176af5e34e586cfb81fda27235f5
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,17 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[line removed by the dashboard scrubber]
+
[line removed by the dashboard scrubber]
+
[... 1078 lines cut ...]
OK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.01281 at 56.o_proj

**Optimizing GPU time usage**
**Assessing duplicate component risk**
**Analyzing test component performance**
**Refining builder and freeze process**
**Drafting combo finalization script**
[line removed by the dashboard scrubber]

 succeeded in 2561ms:
BIT_EXACT writer-close-amplify-050 all six adapter files
RECORD_WRITTEN /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-050 words 2394
DRAFT_COMPLETE writer-close-amplify-050
title: Amplify natural thought-ending writes across all layers at 0.50 percent

## Hypothesis

Strengthening 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.

[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
revisits process and environment handling. These examples support a time-cost hypothesis, not a claim that the
thoughts are useless. Ledger 0006 reports the broader association between long thoughts and session cutoffs.

This differs from ledger 0007-0010: it changes both writers at every layer and keeps their existing input dependence,
instead of fitting a new neuron gate or scaling a small set of final-layer neurons. PRIOR_E4B reports null or harmful
brevity edits. Here the tested difference is the broad, measured writer contrast and the training-sized dose; that
earlier result remains a reason for the negative end of the prediction interval. No trained adapter supplied a direction.

[... 1108 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Finalizing training data adjustments**

 succeeded in 1766ms:
RECORD_WRITTEN /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-amplify-050 words 2394
READY writer-close-amplify-050
# wsp31 queue status (2026-11-12 22:36:51 EST)

Rule: not fixed yet (waits for the unedited baseline, ledger record 0001)

## Batches

| batch | stage | gpu | state | arms | rows | note |
|---|---|---|---|---|---|---|
| b001 | s1 | 1 | running | base aa zero | 194 |  |

## Edits

| ledger | author | slug | state | predicted (120) | stage 1 | stage 2 | control | verdict |
|---|---|---|---|---|---|---|---|---|
| 0007 | claude | deep-gate-b01-end-neurons-x9 | queued_s1 | -5 to +9 |  |  |  | - |
| 0008 | claude | deep-thought-gate-g3-b03 | queued_s1 | -4 to +9 |  |  |  | - |
| 0009 | claude | end-neurons-x25 | queued_s1 | -8 to +9 |  |  |  | - |
[... 1087 lines cut ...]
+for arm in ['edit','ctrl']:
+    for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..1744dbea0944139fbed2fb666f9b700adc35ff29
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,17 @@
+# Author gpt, turn 1 in progress
+
+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.
+
+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.
+
+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.
+
+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.
+
[line removed by the dashboard scrubber]
+
[line removed by the dashboard scrubber]
+
[... 1076 lines cut ...]
SAVED /home/keith/gemma-v2/wsp31/authors/gpt/scratch/rebuild/writer-close-shift-011/source033 net 0.0033000001100329393
SCALED /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
OK edit: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.00282 at 24.o_proj
OK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.002817 at 4.o_proj

**Analyzing GPU and CPU time budgets**
**Describing project caching and pipeline adjustments**
**Analyzing internal summary processes**

 succeeded in 2559ms:
BIT_EXACT writer-close-shift-011 all six adapter files
RECORD_WRITTEN /home/keith/gemma-v2/wsp31/authors/gpt/queue/writer-close-shift-011 words 2398
DRAFT_COMPLETE writer-close-shift-011
title: Shift common writer output toward thought endings across all layers at 0.11 percent

## Hypothesis

A 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.

[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
revisits process and environment handling. These examples support a time-cost hypothesis, not a claim that the
thoughts are useless. Ledger 0006 reports the broader association between long thoughts and session cutoffs.

This differs from ledger 0007-0010: it changes both writers at every layer and keeps their existing input dependence,
instead of fitting a new neuron gate or scaling a small set of final-layer neurons. PRIOR_E4B reports null or harmful
brevity edits. Here the tested difference is the broad, measured writer contrast and the common-reader map; that
earlier result remains a reason for the negative end of the prediction interval. No trained adapter supplied a direction.

[... 1181 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Reviewing project constraints**

 succeeded in 253ms:
752595
# wsp31 queue status (2026-11-12 22:38:56 EST)

Rule: not fixed yet (waits for the unedited baseline, ledger record 0001)

## Batches

| batch | stage | gpu | state | arms | rows | note |
|---|---|---|---|---|---|---|
| b001 | s1 | 1 | running | base aa zero | 198 |  |

## Edits

| ledger | author | slug | state | predicted (120) | stage 1 | stage 2 | control | verdict |
|---|---|---|---|---|---|---|---|---|
| 0007 | claude | deep-gate-b01-end-neurons-x9 | queued_s1 | -5 to +9 |  |  |  | - |
| 0008 | claude | deep-thought-gate-g3-b03 | queued_s1 | -4 to +9 |  |  |  | - |
| 0009 | claude | end-neurons-x25 | queued_s1 | -8 to +9 |  |  |  | - |
| 0010 | claude | early-gate-b01-end-neurons-x9 | queued_s1 | -7 to +9 |  |  |  | - |
[... 1161 lines cut ...]
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Analyzing norm cancellation effects**
**Verifying metadata consistency**
**Analyzing cache and memory usage**

 succeeded in 229ms:
ls: cannot access '/home/keith/gemma-v2/wsp31/authors/gpt/scratch/hold3_start': No such file or directory
453 /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md
# wsp31 queue status (2026-11-12 22:40:30 EST)

Rule: not fixed yet (waits for the unedited baseline, ledger record 0001)

## Batches

| batch | stage | gpu | state | arms | rows | note |
|---|---|---|---|---|---|---|
| b001 | s1 | 1 | running | base aa zero | 199 |  |

## Edits

| ledger | author | slug | state | predicted (120) | stage 1 | stage 2 | control | verdict |
|---|---|---|---|---|---|---|---|---|
| 0007 | claude | deep-gate-b01-end-neurons-x9 | queued_s1 | -5 to +9 |  |  |  | - |
| 0008 | claude | deep-thought-gate-g3-b03 | queued_s1 | -4 to +9 |  |  |  | - |
| 0009 | claude | end-neurons-x25 | queued_s1 | -8 to +9 |  |  |  | - |
[... 1163 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Analyzing GPU job scheduling and locks**

 succeeded in 295ms:
752595 WRITE* /home/keith/gemma-v2/wsp31/gpu0.lock
671284 WRITE* /home/keith/gemma-v2/wsp31/gpu0.lock
654027 WRITE  /home/keith/gemma-v2/wsp31/gpu0.lock

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..43e0a0fe211c69a20dbfb59fad3d7d078e0856d3
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,19 @@
+# Author gpt — turn 1, 2026-11-12
+
+Three entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay:
+
+- writer-close-amplify-033: 0.330000% whole network, 120 matrices, rank 1. Natural end-versus-early writer projection gain. Prediction -7 to +14 tasks/120.
+- writer-close-amplify-050: 0.500014%, 120 matrices, rank 1. Stronger dose; prediction -12 to +16. Largest tested close dose passing the format checks.
+- writer-close-shift-011: 0.110001%, 120 matrices, rank 1. Common writer component mapped toward the end contrast; prediction -6 to +12.
+
+All three served edits preserve every top choice at 32 think/tool points across eight check tasks. Served KL: 0.0747 / 0.1615 / 0.0872. These are development probes, not task gains. Runner 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.
[... 1141 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Analyzing queued jobs and their timing**

 succeeded in 377ms:
    PID     ELAPSED COMMAND
 654027       32:23 flock /home/keith/gemma-v2/wsp31/gpu0.lock ./sessF.sh
 671284       26:08 flock /home/keith/gemma-v2/wsp31/gpu0.lock timeout 1740 ./job4.sh
    PID     ELAPSED COMMAND
 734161       07:06 /bin/bash ./sessF.sh

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..43e0a0fe211c69a20dbfb59fad3d7d078e0856d3
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,19 @@
+# Author gpt — turn 1, 2026-11-12
+
+Three entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay:
+
+- writer-close-amplify-033: 0.330000% whole network, 120 matrices, rank 1. Natural end-versus-early writer projection gain. Prediction -7 to +14 tasks/120.
+- writer-close-amplify-050: 0.500014%, 120 matrices, rank 1. Stronger dose; prediction -12 to +16. Largest tested close dose passing the format checks.
+- writer-close-shift-011: 0.110001%, 120 matrices, rank 1. Common writer component mapped toward the end contrast; prediction -6 to +12.
[... 1149 lines cut ...]

**Managing queued tasks and resources**
**Managing job cancellation and locks**
**Organizing experiment finalization**

I'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’ll 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.
**Analyzing CPU comparison metrics**
**Analyzing model normalization details**

 succeeded in 468ms:
#!/bin/bash
# sessF.sh: one GPU0 hold, several server configurations one after another (each through gpu0_session.sh, so each
# server is stopped before the next starts). Measures (1) stack_exact adapters of rank 34..64 on a server at
# --max-lora-rank 64 and of rank 65..96 on a server at 128 against the forward pass with the separate adapters summed,
# (2) GPU memory and KV cache per (MAXRANK, MAXLORAS, util), (3) whether (128, 6) starts at util 0.90.
# Queue: nohup flock /home/keith/gemma-v2/wsp31/gpu0.lock ./sessF.sh > logs/sessF_$(date +%H%M).log 2>&1 &
# Env: HOLD seconds (1680, never above 1740), CONFIGS (default below: "tag:maxrank:maxloras:util:budget:steps").
T=/home/keith/gemma-v2/wsp31/tools
cd $T
START=$(date +%s); HOLD=${HOLD:-1680}; END=$(( START + HOLD ))
echo "hold start $(date)"; echo $START > logs/sessF_hold_start
left() { echo $(( END - $(date +%s) )); }
CONFIGS=${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"}
for c in $CONFIGS; do
  IFS=: read tag mr ml ut bud steps <<< "$c"
  l=$(left)
  [ $l -lt 160 ] && { echo "##### skip $tag: $l s left"; continue; }
  [ $bud -gt $(( l - 12 )) ] && bud=$(( l - 12 ))
  echo "##### $tag MAXRANK=$mr MAXLORAS=$ml util=$ut budget=$bud ($(date +%H:%M:%S), $l s left in hold)"
[... 1190 lines cut ...]
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Managing job queue and cancellations**
**Summarizing final verification notes**
**Verifying system and process integrity**
**Creating process cancellation script**
**Analyzing process cleanup and wrapper control**

 exited 1 in 2011ms:
Cancelled own pending flock 752595
{
  "entries": [
    {
      "slug": "writer-close-amplify-033",
      "whole_network_percent": 0.3299995048009363,
      "matrices": 120,
      "rank": 1,
      "ready": true
    },
    {
      "slug": "writer-close-amplify-050",
      "whole_network_percent": 0.5000140337240827,
      "matrices": 120,
      "rank": 1,
      "ready": true
    },
    {
      "slug": "writer-close-shift-011",
[... 2454 lines cut ...]
+for arm in ['edit','ctrl']:
+    for name in ['adapter_config.json','adapter_model.safetensors','edit.json']:
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

 succeeded in 225ms:
484 /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md
| 0011 | gpt | writer-close-amplify-033 | queued_s1 | -7 to +14 |  |  |  | - |
| 0012 | gpt | writer-close-amplify-050 | queued_s1 | -12 to +16 |  |  |  | - |
| 0013 | gpt | writer-close-shift-011 | queued_s1 | -6 to +12 |  |  |  | - |

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..78e6ea753397fe7233f88e57eb7f424f29fb9240
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,19 @@
+# Author gpt — turn 1, 2026-11-12
+
+Three entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay:
+
+- writer-close-amplify-033: 0.330000% whole network, 120 matrices, rank 1. Natural end-versus-early writer projection gain. Prediction -7 to +14 tasks/120.
+- writer-close-amplify-050: 0.500014%, 120 matrices, rank 1. Stronger dose; prediction -12 to +16. Largest tested close dose passing the format checks.
+- writer-close-shift-011: 0.110001%, 120 matrices, rank 1. Common writer component mapped toward the end contrast; prediction -6 to +12.
+
[... 1196 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

context compacted

 exited 1 in 237ms:
484 /home/keith/gemma-v2/wsp31/authors/gpt/NOTES.md
[line removed by the dashboard scrubber]

[line removed by the dashboard scrubber]

Deferred, not queued: rank-2 combination close-033 + shift-011, under scratch/candidates/close-combo. Exact edit sum; control sum rescaled per matrix to match its norm. Net change is about 0.282% due to cancellation. Both pass the checker, but no pre-test ran. Two other GPU jobs were ahead; cancelled only my waiting flock before it acquired the lock. scratch/combo_deferred.json records this. A later turn may run pipeline3_job.sh through the documented GPU0 lock after checking its budget. Do not create READY without pre-tests and a record.

Final audit: code/data/turn1_final_audit.json. GPU holds used 1381 + 686 = 2067 seconds (34m27s); no third hold, no GPU1 use, and no author server remains. Scratch is 421 MB, below 10 GB. All required queue files and hashes passed the final audit; two entries meet the training-size rule. Keep this note under 600 words.
grep: /home/keith/gemma-v2/wsp31/STATUS.md: No such file or directory

diff --git a/NOTES.md b/NOTES.md
new file mode 100644
index 0000000000000000000000000000000000000000..78e6ea753397fe7233f88e57eb7f424f29fb9240
--- /dev/null
+++ b/NOTES.md
@@ -0,0 +1,19 @@
+# Author gpt — turn 1, 2026-11-12
+
+Three entries are READY, each with edit/control, official checks, byte-exact rebuild receipt, measured sizes, predictions, offline probes, newline replay, and served replay:
[... 1201 lines cut ...]
+        p=f'{arm}/{name}'
+        x=(q/p).read_bytes();y=(r/p).read_bytes()
+        result[p]={'equal':x==y,'sha256':hashlib.sha256(x).hexdigest()}
+        assert x==y,p
+(q/'rebuild.json').write_text(json.dumps({'bit_exact':True,'files':result},indent=2)+'\n')
+print('BIT_EXACT',slug,'all six adapter files')

**Creating concise final summary**