31B WEIGHT PROGRAMMING / SESSION TRACE
Turn 14 · claude
solostarted Nov 14, 2:22 PM · ended Nov 14, 3:19 PM (ET)
done · exit 0
147 steps · updated 28 min ago
user
You are author 'claude' in the wsp31 weight-editing programme. This is turn 14. Your full instructions are in a brief on host wrx90. First run: ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/BRIEF.md' and follow it exactly, working as author 'claude' (your directory is /home/keith/gemma-v2/wsp31/authors/claude/). The results of your last round, and every other author's entries and results, are in /home/keith/gemma-v2/wsp31/authors/claude/RESULTS.md on wrx90: read it before you decide anything. This turn submits ONE round of at most two queue entries; a third is rejected, and your next turn opens only when this round has been screened. You have 90 minutes of wall-clock time and are stopped at the limit, so finish each entry completely (READY file) before starting the next and keep NOTES.md current as you go. Work autonomously: nobody will answer questions during the turn.
tool
Bash: ssh -o BatchMode=yes wrx90 'cat /home/keith/gemma-v2/wsp31/authors/BRIEF.md'
output
# wsp31 author brief (read fully at the start of every turn) (29 lines, middle cut at capture)
# 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`). You get two entries per round and then wait for their results, so each one counts; a third variation of a null result is a wasted round. 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`. [... 212 lines cut ...] - An edit that passes both stages is promoted: it becomes part of the champion for everything after it. - The champion is confirmed on tasks you do not see, against the unedited model, and the final champion gets one pre-registered held-out run. A changed edit is a new edit. - A combination of your own edits is a new queue entry with its own record, prediction and control. Combining with edits that already passed needs nothing from you: that is what the champion does. Single-run agent evaluations are noisy by several tasks. An edit worth having shows up as ten or more tasks. Aim there.
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; cat NOTES.md; echo ======; wc -c RESULTS.md; cat RESULTS.md | head -c 30000'
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/queue; cat STATUS.md | head -c 12000; echo ======; cat CHAMPION.md | head -c 4000'
output
# Notes of author claude (rewritten end of turn 11, 14 Nov 2026, 10:20 AM ET) (29 lines, middle cut at capture)
# Notes of author claude (rewritten end of turn 11, 14 Nov 2026, 10:20 AM ET) ## Scored so far - Depth-gate / end-of-thought family (0007 to 0023): null or harmful. Never resubmit the parked ones. [line removed by the dashboard scrubber] [line removed by the dashboard scrubber] exact, dose 2) +2.0. Unedited x004: solved 78, 76; finished wrong 27, 28; out of budget with a patch 8, 8; empty 7, 8. 0038: 34 finished wrong; 0039: 27. Brevity gains nothing at `x2`; the failures are wrong patches. ## Queued in turn 11 - `fcv-brief-exact3-b20` (training-sized, 180 matrices): 0039 with the part I5 adds (G20 - F20) written three times in layers 6 to 24 (`code/x3_build.py`). Predicted -5 to 7. Read: finished-wrong count (24 or less = dose response; 30 or more = stop varying constants). [line removed by the dashboard scrubber] [line removed by the dashboard scrubber] episode against reference and control; then solved. ## Learned in turn 11 - A prompt instruction reaches a far position only through the ten global-attention layers (5, 11, ..., 59); local [line removed by the dashboard scrubber] [... 110 lines cut ...] | 0035 | gpt | source-grounding-icv-b3 | Source-grounding instruction contrast across all 60 layers at dose 3 | done | -8 to +12 | -2.5 (79 vs 81) | | null | | 0036 | gpt | source-grounding-icv-b1 | Source-grounding instruction contrast across all 60 layers at dose 1 | done | -8 to +10 | -3.5 (78 vs 81) | | null | | 0043 new | gemini | spec-audit-thought-gate | Thought-gated reliability-shrunk Problem Statement spec-audit steering across all 60 MLP layers | queued_confirm | +2 to +7 | +2.5 (79 vs 78) provisional | | null | | 0044 new | gemini | dual-audit-postedit-boost | Stateful two-neuron post-edit spec-audit boost with thought and edit-history gating over 180 MLP matrices | running_confirm | +3 to +8.5 | +5.5 (82 vs 78) provisional | | - | | 0047 new | gpt | paired-outcome-writers-r4-100 | Paired outcome writer map across all 60 layers at 1 percent | done | -6 to +12 | -2.5 (75 vs 80) provisional | | null | | 0048 new | gpt | paired-outcome-writers-r4-033 | Paired outcome writer map across all 60 layers at 0.33 percent | queued_confirm | -4 to +9 | +3.5 (81 vs 80) provisional | | - | [line removed by the dashboard scrubber] | 0056 | gemini | tri-phase-concise-audit-veto | Capacity-regularized three-phase GeGLU controller for concise thoughts, post-edit spec audit, and pre-submit veto | running_s1 | +4 to +9.5 | | | - |
output
# wsp31 queue status (2026-11-14 14:22:50 EST) (29 lines, middle cut at capture)
# wsp31 queue status (2026-11-14 14:22:50 EST)
Rule: {"s1_promote": 2.0, "s1_harmful": -6.5, "s2_min": 0.5, "ctrl_margin": 0.5, "total_pass": 8.0, "total_harmful": -10.5, "run2_bar": 8.0}
Champion (the base every new edit is scored against): Generation 0: the unedited model. No edit has passed yet.
Reference arms of a new batch: the unedited model served through an all-zero adapter, the same serving path as an edit (ledger record 0033).
[line removed by the dashboard scrubber]
## Batches
| batch | stage | gpu | state | arms | rows | note |
|---|---|---|---|---|---|---|
| x003 | s1 | box | done | base e0035 e0036 aa | 480 | {"base": 81, "episodes": 120, "aa": [81, 82, 3, 4], "arms": {"e0035": [79, -2.5], "e0036": [78, -3.5]}} |
| b004-supp1 | s1 | 1 | done | base e0021 e0020 aa | 76 | {"tasks": 19, "record": "0042", "solved": {"base": [56, 70], "e0021": [50, 60], "e0020": [47, 58], "aa": [59, 73]}} |
| b009 | s2 | 1 | done | base e0032 c0032 aa | 872 | {"base": 127, "episodes": 218, "aa": [127, 114, 20, 7], "arms": {"e0032": [123, 2.5], "c0032": [120, -0.5]}} |
| x004 | s1 | box | done | base e0038 e0039 aa | 480 | {"base": 78, "episodes": 120, "aa": [78, 76, 7, 5], "arms": {"e0038": [75, -2.0], "e0039": [79, 2.0]}} |
| x005 | s1 | box | done | base e0007 e0009 aa | 480 | {"base": 75, "episodes": 120, "aa": [75, 73, 7, 5], "arms": {"e0007": [74, 0.0], "e0009": [3, -71.0]}} |
| x006 | s1 | box | done | base e0043 e0044 aa | 480 | {"base": 78, "episodes": 120, "aa": [78, 75, 10, 7], "arms": {"e0043": [79, 2.5], "e0044": [82, 5.5]}} |
[... 98 lines cut ...]
Waiting for stage 1: 0. Waiting for stage 2: 0. Waiting for a third pass: 0. Waiting for a confirmation run: 5.
======
# Champion
Generation 0: the unedited model. No edit has passed yet.
Every batch scores an entry against this base: the reference arm is the champion and your edit and control are served as champion + your adapter (exact sum, `wsp31/tools/stack_exact.py`). Your entry is still only your own change (rank 32 or less). An edit that passes both screening stages becomes the next generation.tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/tii-wsp31-doc/research/wsp31; tail -n 25 LEDGER.md | cut -c1-600; ls ledger | tail -n 15'
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/tools; wc -c TOOLS.md ARCH.md; cat TOOLS.md | head -c 26000'
output
| [0036](ledger/0036-gpt-source-grounding-icv-b1.md) | 2026-11-14 | gpt | edit | Source-grounding instruction contrast across all 60 layers at dose 1 | wsp31_sc (17 lines, middle cut at capture)
| [0036](ledger/0036-gpt-source-grounding-icv-b1.md) | 2026-11-14 | gpt | edit | Source-grounding instruction contrast across all 60 layers at dose 1 | wsp31_screen_v2 / x003 | done | null | stage 1: -3.5 of 120 tasks | | [0037](ledger/0037-claude-parked-entries-back-for-boxes.md) | 2026-11-14 | claude | baseline | Entries parked on 13 November for lack of GPUs are put back by the coordinator for box screening | wsp31_screen_v2 / x002 and later box batches | done | n/a | protocol; entries parked on 13 November go back into stage 1 unchanged where a box batch has room, at most two per author at a time, put back by the coordinator and not by their authors | | [0038](ledger/0038-claude-fcv-brief-b20.md) | 2026-11-14 | claude | edit | Think-briefly instruction vector, self-consistent compile (dose 2): each layer writes only what the paragraph's mean shift still lacks | wsp31_screen_v2 / x004 | done | null | stage 1: -2.0 of 120 tasks | | [0039](ledger/0039-claude-fcv-brief-exact-b20.md) | 2026-11-14 | claude | edit | Instruction pair vector: think briefly + be exact about what the issue asks, compiled self-consistently into one neuron per layer (dose 2) | wsp31_screen_v2 / x004 | done | null | stage 1: +2.0 of 120 tasks | [line removed by the dashboard scrubber] | [0041](ledger/0041-claude-correction-b002-supp1.md) | 2026-11-14 | claude | edit | Correction of batch b002: 31 stage-1 task(s) run in their own images (b002-supp1) | wsp31_screen_v1, wsp31_screen_v2 / b002, b002-supp1 | done | n/a | corrected solved: base 60 to 73, e0008 51 to 67, e0011 51 to 65, aa 62 to 77 (of 120); verdict changes: none | | [0042](ledger/0042-claude-correction-b004-supp1.md) | 2026-11-14 | claude | edit | Correction of batch b004: 19 stage-1 task(s) run in their own images (b004-supp1) | wsp31_screen_v1, wsp31_screen_v2 / b004, b004-supp1 | done | n/a | corrected solved: base 56 to 70, e0021 50 to 60, e0020 47 to 58, aa 59 to 73 (of 120); verdict changes: none | | [0043](ledger/0043-gemini-spec-audit-thought-gate.md) | 2026-11-14 | gemini | edit | Thought-gated reliability-shrunk Problem Statement spec-audit steering across all 60 MLP layers | wsp31_screen_v2 / x006 | done | null | stage 1: +2.5 of 120 tasks | | [0044](ledger/0044-gemini-dual-audit-postedit-boost.md) | 2026-11-14 | gemini | edit | Stateful two-neuron post-edit spec-audit boost with thought and edit-history gating over 180 MLP matrices | wsp31_screen_v2 / x006, b011 | running | - | - | | [0045](ledger/0045-claude-correction-b008-supp1.md) | 2026-11-14 | claude | edit | Correction of batch b008: 2 stage-2 task(s) run in their own images (b008-supp1) | wsp31_screen_v2 / b008, b008-supp1 | done | n/a | corrected solved: base 114 to 113, e0031 123 to 122, c0031 119 to 120, aa 111 to 112 (of 218); verdict changes: none | | [0046](ledger/0046-claude-correction-b009-supp1.md) | 2026-11-14 | claude | edit | Correction of batch b009: 2 stage-2 task(s) run in their own images (b009-supp1) | wsp31_screen_v2 / b009, b009-supp1 | done | n/a | corrected solved: base 127 to 127, e0032 123 to 123, c0032 120 to 120, aa 114 to 114 (of 218); verdict changes: none | | [0047](ledger/0047-gpt-paired-outcome-writers-r4-100.md) | 2026-11-14 | gpt | edit | Paired outcome writer map across all 60 layers at 1 percent | wsp31_screen_v2 / b010 | done | null | stage 1: -2.5 of 120 tasks | | [0048](ledger/0048-gpt-paired-outcome-writers-r4-033.md) | 2026-11-14 | gpt | edit | Paired outcome writer map across all 60 layers at 0.33 percent | wsp31_screen_v2 / b010 | running | - | - | [line removed by the dashboard scrubber] | [0050](ledger/0050-claude-fcv-brief-exact3-b20.md) | 2026-11-14 | claude | edit | Instruction pair vector, 'be exact about what the issue asks' part written three times in layers 6 to 24, think-briefly part at dose 2 | wsp31_screen_v2 / x008 | running | - | - | | [0051](ledger/0051-claude-noise-batch-four-identical-arms.md) | 2026-11-14 | claude | baseline | Noise batch x007 - four identical uned [... 1237 characters cut ...]
output
28053 TOOLS.md (29 lines, middle cut at capture)
28053 TOOLS.md
9736 ARCH.md
37789 total
# wsp31 tools for edit authors
Changelog (newest first; times US Eastern):
- Fri 13 Nov, 3:51 PM: **three of the first four edits were harmful (-10 to -21 tasks): read "Before you submit"
(section 5) first.** GPU 0 for pre-tests only while an author turn is open (section 3). New `delimprobe.py`.
[line removed by the dashboard scrubber]
12:39 AM speed (trap 12): **the server's rank limit sets the price of an adapter**.
- Thu 12 Nov: 11:40 PM first served runs of `dose.py`, `validate.py`, `vgen.py`, `closeprobe.py`; 10:55 PM stacks
of rank 34 to 96 applied as written; 10:30 PM **thought-end pre-tests need exact contexts**, rank limits 64 or 128
(never 96); 10:00 PM champion support, network-wide builders; 8:36 PM first version. Earlier commands all still work.
Everything here lives in `$R/wsp31/tools` (below `$T`; `$R = /home/keith/gemma-v2`). Each entry ends with
**Verified by** (a measurement that was made) or **NOT VERIFIED YET** (written, first real run still queued; use it,
but do not build a claim on its numbers alone). Architecture facts are in `$T/ARCH.md` (read "Consequences for
weight edits" there before designing an edit); measurements with commands are in `$T/REPORT.md`.
. /home/keith/gemma-v2/env.sh; T=$R/wsp31/tools
[... 266 lines cut ...]
a content-derived name (`fastprobe.py` does) and treat a queued `edit/` as frozen.
2. **Stale servers.** Only start servers through `gpu0_session.sh`; never talk to a port you did not start.
3. **Thinking is always on.** All 799 logged calls start with `<|channel>`, so `turn` and `step` points only measure
"start thinking". Behavioural choices are at `think` and `tool` points.
4. **`exact: false` points** (`think`, `tool` of the per-episode sets) are re-rendered history, wrong for thought
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
6. **Forward pass beside a server runs out of metool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; ls -la code | tail -n 70; ls queue; du -sh scratch; ls scratch | head -50; cat /home/keith/gemma-v2/wsp31/queue/config.json | head -c 1500; ls /home/keith/gemma-v2/wsp31/queue/TURN_OPEN; nvidia-smi --query-gpu=index,memory.used,utilization.gpu --format=csv,noheader; free -g | head -2'
output
drwxrwxr-x 2 keith keith 4096 Nov 13 01:09 extras3 (29 lines, middle cut at capture)
drwxrwxr-x 2 keith keith 4096 Nov 13 01:09 extras3
-rw-r--r-- 1 keith keith 1491 Nov 13 01:09 fail_stats.py
-rw-r--r-- 1 keith keith 1161 Nov 14 01:17 fcv2_build.py
-rw-r--r-- 1 keith keith 8443 Nov 14 01:11 fcv2_job.py
-rw-r--r-- 1 keith keith 1130 Nov 14 00:54 fcv_build.py
-rw-r--r-- 1 keith keith 12743 Nov 14 00:54 fcv_job.py
-rw-r--r-- 1 keith keith 819 Nov 13 01:09 fill_fb.py
-rw-r--r-- 1 keith keith 632 Nov 13 01:09 fillvgen.py
-rwxr-xr-x 1 keith keith 1920 Nov 14 09:49 fin11a.sh
-rwxr-xr-x 1 keith keith 2202 Nov 14 10:04 fin11b.sh
-rwxr-xr-x 1 keith keith 1868 Nov 13 19:06 fin6.sh
-rwxr-xr-x 1 keith keith 1998 Nov 14 00:56 fin8.sh
-rwxr-xr-x 1 keith keith 2025 Nov 14 01:17 fin9.sh
-rwxr-xr-x 1 keith keith 1049 Nov 13 01:09 fin_gpu.sh
-rw-r--r-- 1 keith keith 12017 Nov 13 01:09 finalize.py
-rw-r--r-- 1 keith keith 7033 Nov 13 01:09 finalize3.py
-rw-r--r-- 1 keith keith 2750 Nov 13 01:09 fix_records.py
-rwxrwxr-x 1 keith keith 267 Nov 13 01:09 gpu_hold.sh
-rwxr-xr-x 1 keith keith 905 Nov 14 01:29 gpu_hold10.sh
-rwxrwxr-x 1 keith keith 604 Nov 14 01:35 gpu_hold11.sh
[... 182 lines cut ...]
"max_batches": 1,
"shards": 4,
"hours": 2,
"machine": "rtls: cannot access '/home/keith/gemma-v2/wsp31/queue/TURN_OPEN': No such file or directory
0, 94678 MiB, 0 %
1, 90564 MiB, 100 %
total used free shared buff/cache available
Mem: 183 33 25 10 136 150tool
Bash: ssh -o BatchMode=yes wrx90 'nvidia-smi --query-gpu=index,memory.used,memory.total,utilization.gpu --format=csv,noheader; nvidia-smi --query-compute-apps=pid,used_memory --format=csv,noheader; ls -la /home/keith/gemma-v2/wsp31/gpu0.lock /home/keith/gemma-v2/wsp31/queue/ | head -40; ps aux | grep -E "flock|gpu0_session|vllm" | grep -v grep | cut -c1-260 | head -12; date'
output
0, 94678 MiB, 97887 MiB, 0 % (29 lines, middle cut at capture)
0, 94678 MiB, 97887 MiB, 0 % 1, 90564 MiB, 97887 MiB, 100 % 2374353, 94668 MiB 2057580, 90544 MiB -rw-rw-r-- 1 keith keith 0 Nov 12 19:07 /home/keith/gemma-v2/wsp31/gpu0.lock /home/keith/gemma-v2/wsp31/queue/: total 3500 drwxrwxr-x 15 keith keith 4096 Nov 14 14:23 . drwxrwxr-x 18 keith keith 4096 Nov 14 13:33 .. -rw-rw-r-- 1 keith keith 24 Nov 14 14:23 AUTHOR_LOOP -rw-rw-r-- 1 keith keith 391 Nov 14 14:23 CHAMPION.md -rw-rw-r-- 1 keith keith 10053 Nov 14 14:23 STATUS.md drwxrwxr-x 2 keith keith 4096 Nov 14 14:22 TURN_OPEN.d drwxrwxr-x 2 keith keith 4096 Nov 14 13:47 __pycache__ -rw-r--r-- 1 keith keith 1164 Nov 13 09:11 backlog.py drwxrwxr-x 11 keith keith 4096 Nov 14 14:05 box -rw-r--r-- 1 keith keith 1602 Nov 13 00:13 build_stage_ids.py -rw-r--r-- 1 keith keith 1421 Nov 13 00:13 build_stage_ids.py.pre-s2clean -rw-rw-r-- 1 keith keith 2008 Nov 14 14:21 config.json [... 19 lines cut ...] -rw-rw-r-- 1 keith keith 1238 Nov 13 14:21 config.json.pre-v2 -rw-rw-r-- 1 keith keith 1257 Nov 13 22:52 config.json.pre-zeroarm drwxrwxr-x 2 keith keith 4096 Nov 14 14:23 dash -rwxr-xr-x 1 keith keith 13073 Nov 14 14:03 dash_collect.py -rwxr-xr-x 1 keith keith 11381 Nov 14 00:54 dash_collect.py.bak-20261114-0060 keith 2057042 3.5 1.1 20440564 2289840 ? Ssl 13:42 1:28 /home/keith/gemma-v2/tii-venv/bin/python -m vllm.entrypoints.openai.api_server --model /home/keith/gemma-v2/models/gemma-4-31b-it-qat-w4a16-ct --served-model-name base gemma-4-31b --host 127.0. keith 2367631 18.9 1.1 20355876 2304584 ? Ssl 14:21 0:22 /home/keith/gemma-v2/tii-venv/bin/python -m vllm.entrypoints.openai.api_server --model /home/keith/gemma-v2/models/gemma-4-31b-it-qat-w4a16-ct --served-model-name base gemma-4-31b --host 127.0. Sat Nov 14 02:23:44 PM EST 2026
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; flock -n /home/keith/gemma-v2/wsp31/gpu0.lock true && echo LOCK_FREE || echo LOCK_HELD; ls /home/keith/gemma-v2/wsp31/queue/TURN_OPEN.d; cat code/x_stats.py; ls -la scratch/job11 scratch/job9 scratch/job8 | cut -c1-150'
output
LOCK_HELD (29 lines, middle cut at capture)
LOCK_HELD
claude
gpt
import json, sys, statistics as st, collections
B = "/home/keith/gemma-v2/results/wsp31/batches/x001/"
arms = {}
for a in ["base", "aa", "e0031", "e0032"]:
rows = {}
for l in open(B + a + "/rebench/shard0_gpu0/task_results.jsonl"):
r = json.loads(l); rows[r["instance_id"]] = r
arms[a] = rows
errs = collections.Counter((r.get("agent_error") or "none")[:45] for r in rows.values())
[line removed by the dashboard scrubber]
tc = [r.get("tool_calls") or 0 for r in rows.values()]
[line removed by the dashboard scrubber]
sol = [r for r in rows.values() if r["resolved"]]
tl = [r for r in rows.values() if "timeout" in (r.get("agent_error") or "")]
print(a, "n", len(rows), "solved", len(sol), "| out tok med %.0f mean %.0f | at10k %d | calls med %.0f | capped calls mean %.2f | empty %d | timeout %d (solved among them %d) | tok/call med %.0f" % (
st.median(ot), st.mean(ot), sum(o >= 9990 for o in ot), st.median(tc), st.mean(cap),
sum(not r["patch_chars"] for r in rows.values()), len(tl), sum(r["resolved"] for r in tl),
[... 46 lines cut ...]
drwxrwxr-x 11 keith keith 4096 Nov 14 10:17 ..
drwxrwxr-x 7 keith keith 4096 Nov 14 01:20 ad
-rw-rw-r-- 1 keith keith 3266 Nov 14 01:35 close_G20.json
-rw-rw-r-- 1 keith keith 13676621 Nov 14 01:24 eval.pt
-rw-rw-r-- 1 keith keith 151148940 Nov 14 01:20 fcv2_stats.pt
-rw-rw-r-- 1 keith keith 95870 Nov 14 01:27 gen.json
-rw-rw-r-- 1 keith keith 80 Nov 14 01:11 gen_arms.txt
-rw-rw-r-- 1 keith keith 6414 Nov 14 01:24 summary.jsontool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2; ls results/wsp31/batches/x008/; ls results/wsp31/batches/x008/e0050/; ls results/wsp31/batches/x008/e0050/rebench | head; ps -eo pid,etimes,cmd | grep -E "gpu0.lock" | grep -v grep | cut -c1-300'
output
aa (13 lines)
aa base box_merge.json e0049 e0050 s0 s1 s2 s3 score.json rebench run.json shard0_gpu0
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -e "s#batches/x001/#batches/x008/#" -e "s/\"e0031\", \"e0032\"/\"e0049\", \"e0050\"/g" code/x_stats.py > scratch/x_stats14.py; /home/keith/gemma-v2/tii-venv/bin/python scratch/x_stats14.py 2>&1 | cut -c1-900'
output
base n 120 solved 76 | out tok med 9524 mean 10858 | at10k 58 | calls med 23 | capped calls mean 3.05 | empty 5 | timeout 20 (solved among them 4) | tok/call me (30 lines)
base n 120 solved 76 | out tok med 9524 mean 10858 | at10k 58 | calls med 23 | capped calls mean 3.05 | empty 5 | timeout 20 (solved among them 4) | tok/call med 377
{'Agent exceeded session timeout (7.5 min)': 20, 'none': 100}
{'empty': 5, 'solved': 76, 'patch_done_fail': 27, 'patch_timeout_fail': 12}
aa n 120 solved 78 | out tok med 7994 mean 10663 | at10k 52 | calls med 21 | capped calls mean 3.67 | empty 7 | timeout 25 (solved among them 6) | tok/call med 382
{'Agent exceeded session timeout (7.5 min)': 25, 'none': 95}
{'empty': 7, 'solved': 78, 'patch_done_fail': 23, 'patch_timeout_fail': 12}
e0049 n 120 solved 78 | out tok med 6392 mean 8709 | at10k 35 | calls med 18 | capped calls mean 2.47 | empty 4 | timeout 14 (solved among them 1) | tok/call med 344
{'none': 106, 'Agent exceeded session timeout (7.5 min)': 14}
{'patch_done_fail': 29, 'solved': 78, 'patch_timeout_fail': 9, 'empty': 4}
e0050 n 120 solved 81 | out tok med 6772 mean 9342 | at10k 45 | calls med 21 | capped calls mean 2.42 | empty 2 | timeout 16 (solved among them 5) | tok/call med 324
{'none': 104, 'Agent exceeded session timeout (7.5 min)': 16}
{'patch_done_fail': 27, 'solved': 81, 'patch_timeout_fail': 10, 'empty': 2}
{"agent_seconds": 738.37, "budget": 20000, "calls": 19, "capped_calls": 6, "no_limit_calls": 1, "uncounted_calls": 0, "wall_limit_hit": false}
e0049 gained over both:
django-money__django-money.835c1ab8.lm_rewrite__v5cndhkm [('base', 20000, 16, 589, 'Agent exceed'), ('aa', 20000, 20, 0, 'Agent exceed'), ('e0049', 17879, 17, 1286, '')]
[task] [('base', 13621, 15, 2648, ''), ('aa', 16818, 26, 4677, ''), ('e0049', 9119, 13, 3599, '')]
[task] [('base', 6118, 23, 442, ''), ('aa', 6574, 21, 442, ''), ('e0049', 5505, 10, 475, '')]
[task] [('base', 10087, 23, 733, ''), ('aa', 7645, 15, 449, ''), ('e0049', 8249, 19, 559, '')]
e0049 lost vs both:
[task] [('base', 20000, 37, 692, 'Agent exceed'), ('aa', 20000, 42, 827, 'Agent exceed'), ('e0049', 20000, 49, 0, 'Agent exceed')]
django-money__django-money.835c1ab8.combine_module__bqggrnha [('base', 9645, 17, 1314, ''), ('aa', 10783, 23, 1314, ''), ('e0049', 20001, 26, 1310, 'Agent exceed')]
madzak__python-json-logger.5f85723f.func_pm_class_rm_base__57l62wq9 [('base', 7949, 23, 849, ''), ('aa', 14623, 47, 922, ''), ('e0049', 9708, 36, 1320, '')]
r1chardj0n3s__parse.30da9e4f.func_pm_remove_cond__k4df18dk [('base', 10354, 12, 872, ''), ('aa', 5778, 12, 729, ''), ('e0049', 6170, 9, 617, '')]
[task] [('base', 13258, 35, 1551, ''), ('aa', 13261, 25, 2680, ''), ('e0049', 20001, 12, 0, 'Agent exceed')]
e0050 gained over both:
[task] [('base', 20000, 60, 0, 'Agent exceed'), ('aa', 20000, 28, 568, 'Agent exceed'), ('e0050', 20000, 56, 544, 'Agent exceed')]
django-money__django-money.835c1ab8.lm_rewrite__v5cndhkm [('base', 20000, 16, 589, 'Agent exceed'), ('aa', 20000, 20, 0, 'Agent exceed'), ('e0050', 17995, 24, 1658, '')]
[task] [('base', 7482, 15, 1887, ''), ('aa', 6297, 9, 1768, ''), ('e0050', 9831, 24, 1159, '')]
e0050 lost vs both:
[task] [('base', 10761, 22, 1507, ''), ('aa', 9567, 16, 1309, ''), ('e0050', 20000, 42, 880, 'Agent exceed')]tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; cat code/x3_build.py; echo; cat queue/fcv-brief-exact3-b20/build.sh; sed -n 1,60p queue/fcv-brief-exact3-b20/record.md | cut -c1-1200'
output
"""x3_build.py OUT_DIR edit|ctrl [K=3] (author claude, turn 11; CPU, seconds) (29 lines, middle cut at capture)
"""x3_build.py OUT_DIR edit|ctrl [K=3] (author claude, turn 11; CPU, seconds)
The paragraph pair I1 + I5 of code/fcv2_job.py (entry fcv-brief-exact-b20, ledger 0039) with the part that the
second paragraph (I5, "be exact about what the issue asks") adds written K times, in the layers where that part is
stable between halves of the fit calls (layers 6 to 24):
G_L = self-consistent write of the pair at dose 2 (code/data/fcv2_stats.pt, delta["G20"])
F_L = self-consistent write of I1 alone at dose 2 (same file, delta["F20"]; entry fcv-brief-b20, ledger 0038)
H_L = G_L + (K - 1) * (G_L - F_L) for 6 <= L <= 24, H_L = G_L otherwise.
The always-on neuron of every layer (same neurons, gate and up rows as 0038 and 0039) writes H_L.
ctrl: the same code path with the sign of every coordinate of the written vector flipped at random (seed 6000 + L).
"""
import sys
import torch
A_DIR = "/home/keith/gemma-v2/wsp31/authors/claude"
sys.path.insert(0, A_DIR + "/code")
import fcv2_job as F2 # noqa: E402
LO, HI = 6, 24
[... 78 lines cut ...]
The size is mostly the removal of the 60 replaced neurons (old gate and up rows of norm about 1). Rank 1 per matrix,
180 matrices (gate, up and down of the MLP in all 60 layers).
Write of layer L (`code/x3_build.py`, CPU, from `code/data/fcv2_stats.pt`):
G_L = self-consistent write of the pair I1 + I5 at dose 2 (delta["G20"]; entry 0039)
F_L = self-consistent write of I1 alone at dose 2 (delta["F20"]; entry 0038)
H_L = G_L + 2 (G_L - F_L) for 6 <= L <= 24; H_L = G_L otherwisetool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31; grep -n "device\|cuda" tools/g31.py | head -30; ls -la tools/data | cut -c1-120 | head -30; ls interp | head -40; lscpu | grep -E "Model name|^CPU\(s\)|bf16" | cut -c1-200; grep -o "avx512_bf16" /proc/cpuinfo | head -1; uptime'
output
91: shifts = torch.arange(0, 32, 4, device=packed.device, dtype=torch.int32) (29 lines, middle cut at capture)
91: shifts = torch.arange(0, 32, 4, device=packed.device, dtype=torch.int32)
106: def __init__(self, path, device="cuda:0"):
117: a = sd[k].to(device=device, dtype=BF)
118: b = (sd[k.replace("lora_A", "lora_B")].float() * self.scale).to(device=device, dtype=BF)
130: def __init__(self, device="cuda:0", model_dir=MODEL_DIR, mirror=True, cache_dense=False, layers=None):
133: self.dev = torch.device(device)
139: self.f = safe_open(os.path.join(model_dir, "model.safetensors"), framework="pt", device=str(self.dev))
253: out = torch.empty(n, nh * hd, dtype=BF if self.mirror else torch.float32, device=q.device)
262: i = torch.arange(s, e, device=q.device)[:, None]
263: j = torch.arange(lo, e, device=q.device)[None, :]
293: ids = torch.as_tensor(ids, dtype=torch.long, device=self.dev)
296: cap_pos_t = torch.as_tensor(out_pos if cap_pos is None else list(cap_pos), dtype=torch.long, device=self.dev)
346: hp = self.rms(h[torch.as_tensor(out_pos, device=self.dev)], self.final_norm if self.mirror
total 1120580
drwxrwxr-x 8 keith keith 4096 Nov 13 15:07 .
drwxrwxr-x 10 keith keith 4096 Nov 14 13:09 ..
-rw-rw-r-- 1 keith keith 3226 Nov 13 14:31 armstats_b002_b003.json
drwxrwxr-x 2 keith keith 4096 Nov 13 15:30 cache
-rw-rw-r-- 1 keith keith 2583949 Nov 12 21:03 capture_test.pt
drwxrwxr-x 3 keith keith 4096 Nov 12 21:45 champ
[... 61 lines cut ...]
mk_atlas.py
pack_A.py
CPU(s): 48
Model name: AMD Ryzen Threadripper PRO 9965WX 24-Cores
CPU(s) scaling MHz: 81%
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc
avx512_bf16
14:26:03 up 1 day, 20:28, 7 users, load average: 5.70, 6.58, 6.34tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; ls -la code/data | cut -c1-120; cat > scratch/peek.py <<EOF
import torch
for f in ["icv_stats.pt","fcv_stats.pt","fcv2_stats.pt"]:
try:
st = torch.load("code/data/"+f)
except Exception as e:
print(f, "ERR", e); continue
print("==", f)
for k,v in st.items():
if isinstance(v, dict):
print(" ", k, "dict:", [(kk, tuple(vv.shape) if hasattr(vv,"shape") else (str(vv)[:80])) for kk,vv in list(v.items())[:14]])
elif hasattr(v,"shape"): print(" ", k, tuple(v.shape))
else: print(" ", k, str(v)[:300])
EOF
/home/keith/gemma-v2/tii-venv/bin/python scratch/peek.py 2>&1 | cut -c1-1800'output
total 626548 (29 lines, middle cut at capture)
total 626548
drwxrwxr-x 2 keith keith 4096 Nov 14 10:00 .
drwxrwxr-x 6 keith keith 4096 Nov 14 10:15 ..
-rw-rw-r-- 1 keith keith 1710391 Nov 12 20:53 end_neurons.pt
-rw-rw-r-- 1 keith keith 151148940 Nov 14 01:24 fcv2_stats.pt
-rw-rw-r-- 1 keith keith 147267851 Nov 14 01:11 fcv_stats.pt
-rw-rw-r-- 1 keith keith 103395595 Nov 13 19:24 icv_stats.pt
-rw-rw-r-- 1 keith keith 51746698 Nov 14 10:00 mk_stats.pt
-rw-rw-r-- 1 keith keith 12859 Nov 13 01:08 net_job_t3.log
-rw-rw-r-- 1 keith keith 5496 Nov 13 01:08 net_report_t3.txt
-rw-rw-r-- 1 keith keith 22158433 Nov 13 01:07 net_stats_slim.pt
-rw-rw-r-- 1 keith keith 54909320 Nov 12 21:20 think_stats.pt
-rw-rw-r-- 1 keith keith 54579909 Nov 12 21:26 think_stats_g2.pt
-rw-rw-r-- 1 keith keith 54579909 Nov 12 21:26 think_stats_g3.pt
== icv_stats.pt
layers [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59]
[line removed by the dashboard scrubber]
diffs dict: [('I1', (35, 60, 5376)), ('I2', (35, 60, 5376))]
kind (4102,)
rec (4102,)
[... 34 lines cut ...]
instr dict: [('I1', 'Important: keep your thinking very short. Before each tool call, think in at mos'), ('I5', 'Important: be exact about what the issue asks. In every thought keep in view the')]
w_post (60, 5376)
ls (60,)
delta dict: [('F10', (60, 5376)), ('F20', (60, 5376)), ('F30', (60, 5376)), ('G20', (60, 5376)), ('G10', (60, 5376))]
dinfo dict: [('F10', "{'norm': [0.06507328769774455, 0.01805950908011651, 0.015666290629126355, 0.0231"), ('F20', "{'norm': [0.1301465753954891, 0.03250299121488646, 0.02824311858027947, 0.042742"), ('F30', "{'norm': [0.1952198625378218, 0.04676854739760499, 0.03721371529419355, 0.061176"), ('G20', "{'norm': [0.15908602277881387, 0.04655235757471138, 0.031128119600908832, 0.0538"), ('G10', "{'norm': [0.07954301138939951, 0.02499407426073907, 0.019054829199591495, 0.0287")]
neuron dict: [(0, "{'j': 17366, 'gate_row': tensor([-0.0015, 0.0008, 0.0023, ..., -0.0005, -0.00"), (1, "{'j': 20675, 'gate_row': tensor([ 5.5375e-04, -1.5868e-03, 3.6522e-04, ..., -2"), (2, "{'j': 15640, 'gate_row': tensor([ 0.0038, 0.0044, 0.0011, ..., 0.0015, 0.00"), (3, "{'j': 21481, 'gate_row': tensor([-0.0034, -0.0017, -0.0003, ..., -0.0025, 0.00"), (4, "{'j': 7209, 'gate_row': tensor([-0.0042, -0.0006, -0.0003, ..., -0.0012, 0.004"), (5, "{'j': 16168, 'gate_row': tensor([-0.0013, 0.0003, 0.0042, ..., -0.0025, 0.00"), (6, "{'j': 15052, 'gate_row': tensor([-0.0013, -0.0015, 0.0023, ..., -0.0022, 0.00"), (7, "{'j': 18562, 'gate_row': tensor([-0.0014, 0.0016, -0.0008, ..., 0.0004, 0.00"), (8, "{'j': 16210, 'gate_row': tensor([-0.0013, 0.0013, -0.0004, ..., 0.0019, 0.00"), (9, "{'j': 13236, 'gate_row': tensor([-0.0008, 0.0019, 0.0022, ..., 0.0033, 0.00"), (10, "{'j': 17073, 'gate_row': tensor([ 0.0022, -0.0010, 0.0008, ..., -0.0019, 0.00"), (11, "{'j': 391, 'gate_row': tensor([ 0.0022, 0.0021, 0.0021, ..., 0.0006, 0.0015"), (12, "{'j': 17885, 'gate_row': tensor([ 0.0010, 0.0014, 0.0004, ..., 0.0010, -0.00"), (13, "{'j': 6935, 'gate_row': tensor([ 0.0016, -0.0018, 0.0026, ..., 0.0022, 0.000")]
d15 (60, 5376)
pair_info dict: [('norm15', '[0.07954301136937186, 0.03026835444390253, 0.033001834889810525, 0.0471377097754'), ('norm1', '[0.06507328769774455, 0.022138318731132707, 0.023931042655660418, 0.034264421217'), ('cos_15_1', '[0.91642465263782, 0.7667577839671382, 0.7884471375693912, 0.8342718342130451, 0'), ('extra_rel', '[0.5037480620180639, 0.8790085317952322, 0.8527289937917052, 0.7727471175956301,'), ('split15', '[0.8886529764308115, 0.7746016910388395, 0.7557774685005814, 0.7411299898043019,'), ('split_extra', '[-0.07976140512156546, 0.44288485600135635, 0.3708511252325623, 0.33741446539746')]tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; ls -la scratch/job6 scratch/job6/ad 2>/dev/null | cut -c1-140; cat code/icv_build.py; /home/keith/gemma-v2/tii-venv/bin/python - <<EOF
import torch
st = torch.load("code/data/icv_stats.pt")
print(st["instr"]["I2"])
[line removed by the dashboard scrubber]
for k,v in st["dinfo"]["I2"].items():
print(k, [round(float(x),3) for x in v][:60] if hasattr(v,"__len__") else v)
EOF' 2>&1 | cut -c1-1500output
scratch/job6: (29 lines, middle cut at capture)
scratch/job6:
total 34632
drwxrwxr-x 3 keith keith 4096 Nov 13 19:48 .
drwxrwxr-x 11 keith keith 4096 Nov 14 14:26 ..
drwxrwxr-x 16 keith keith 4096 Nov 13 19:30 ad
-rw-rw-r-- 1 keith keith 3231 Nov 13 19:35 close_A10.json
-rw-rw-r-- 1 keith keith 3218 Nov 13 19:38 close_B10.json
-rw-rw-r-- 1 keith keith 21452637 Nov 13 19:28 eval.pt
-rw-rw-r-- 1 keith keith 13677043 Nov 13 19:41 eval2.pt
-rw-rw-r-- 1 keith keith 22 Nov 13 19:32 eval2_arms.txt
-rw-rw-r-- 1 keith keith 80464 Nov 13 19:45 gen2.json
-rw-rw-r-- 1 keith keith 14427 Nov 13 19:42 summary.json
-rw-rw-r-- 1 keith keith 6399 Nov 13 19:41 summary2.json
-rw-rw-r-- 1 keith keith 186 Nov 13 19:32 vgen2_arms.txt
-rw-rw-r-- 1 keith keith 189252 Nov 13 19:31 vgen_turn.json
scratch/job6/ad:
total 64
drwxrwxr-x 16 keith keith 4096 Nov 13 19:30 .
drwxrwxr-x 3 keith keith 4096 Nov 13 19:48 ..
[... 37 lines cut ...]
"rho min/med/max %.3f %.3f %.3f" % (min(rho), sorted(rho)[len(rho) // 2], max(rho)))
Important: do not keep reading once you have found the code responsible for the problem. Make your first edit_file change by your sixth tool call at the latest, even if you are not yet fully sure, then test it and correct it if needed. An imperfect edit that you can improve is worth more than further reading.
[line removed by the dashboard scrubber]
norm [0.063, 0.022, 0.025, 0.04, 0.04, 0.133, 0.15, 0.161, 0.154, 0.174, 0.176, 0.278, 0.225, 0.219, 0.217, 0.199, 0.198, 0.301, 0.318, 0.305, 0.262, 0.265, 0.352, 0.463, 0.478, 0.489, 0.538, 0.514, 0.494, 0.578, 0.56, 0.542, 0.597, 0.727, 0.788, 0.907, 0.948, 0.969, 0.949, 0.931, 0.85, 0.781, 0.754, 0.684, 0.622, 0.593, 0.568, 0.559, 0.518, 0.516, 0.465, 0.481, 0.442, 0.441, 0.438, 0.433, 0.439, 0.485, 0.461, 0.027]
rel [0.001, 0.0, 0.0, 0.0, 0.0, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.002, 0.002, 0.002, 0.002, 0.002, 0.002, 0.002, 0.002, 0.002, 0.002, 0.002, 0.002, 0.003, 0.003, 0.004, 0.004, 0.005, 0.005, 0.004, 0.004, 0.004, 0.004, 0.004, 0.004, 0.004, 0.003, 0.004, 0.004, 0.005, 0.006, 0.005, 0.005, 0.004, 0.004, 0.005, 0.004, 0.004]
dnorm [0.063, 0.021, 0.01, 0.031, 0.007, 0.127, 0.083, 0.099, 0.052, 0.082, 0.048, 0.19, 0.078, 0.019, 0.018, 0.054, 0.033, 0.184, 0.07, 0.106, 0.096, 0.102, 0.226, 0.353, 0.317, 0.326, 0.384, 0.374, 0.381, 0.482, 0.37, 0.312, 0.368, 0.48, 0.496, 0.639, 0.575, 0.515, 0.5, 0.55, 0.507, 0.457, 0.346, 0.233, 0.185, 0.196, 0.18, 0.245, 0.154, 0.232, 0.139, 0.244, 0.208, 0.214, 0.169, 0.206, 0.228, 0.317, 0.31, 0.023]
split_cos [0.898, 0.577, 0.557, 0.644, 0.672, 0.749, 0.734, 0.705, 0.696, 0.692, 0.71, 0.851, 0.818, 0.811, 0.82, 0.805, 0.785, 0.882, 0.88, 0.856, 0.836, 0.792, 0.746, 0.798, 0.684, 0.555, 0.586, 0.52, 0.519, 0.582, 0.512, 0.456, 0.476, 0.532, 0.56, 0.626, 0.637, 0.593, 0.567, 0.509, 0.535, 0.458, 0.46, 0.462, 0.438, 0.428, 0.393, 0.378, 0.348, 0.387, 0.35, 0.325, 0.254, 0.232, 0.229, 0.201, 0.21, 0.312, 0.355, 0.475]
cos_d_delta [1.0, 0.979, 0.44, 0.796, 0.231, 0.963, 0.573, 0.6, 0.424, 0.673, 0.482, 0.885, 0.549, 0.062, 0.21, 0.479, 0.194, 0.878, 0.481, 0.358, 0.065, 0.349, 0.746, 0.857, 0.619, 0.654, 0.811, 0.753, 0.889, 0.878, 0.693, 0.619, 0.719, 0.767, 0.712, 0.817, 0.658, 0.623, 0.591, 0.726, 0.734, 0.7, 0.62, 0.451, 0.367, 0.416, 0.372, 0.442, 0.321, 0.538, 0.276, 0.527, 0.434, 0.518, 0.428, 0.458, 0.53, 0.697, 0.682, 0.84]tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; head -c 5000 scratch/job6/summary.json; echo; echo ----; head -c 2500 scratch/job6/summary2.json; echo ----; cat scratch/job6/close_B10.json | head -c 1500; echo; cat scratch/job6/vgen2_arms.txt scratch/job6/eval2_arms.txt'
output
{ (29 lines, middle cut at capture)
{
"P_I1": {
"records": 8,
"positions": 1278,
"flip_all": 0.011737089201877934,
"flip_thought": 0.01956521739130435,
"n_thought": 460,
"early_close_top": 0,
"dlogp_close_inside": -0.06704983296601669,
"n_close": 8,
"dlogp_close_at_close": -0.19188229782253075,
"close_kept": 7,
"n_tool": 8,
"flip_tool": 0,
"kl_base": 0.007577057945336535,
"tv_base": 0.013680886051651084,
"dlogp_logged": -0.006151959912178102
},
"P_I2": {
"records": 8,
[... 407 lines cut ...]
"logp_logged": -0.15702924132347107,
"top_is_logged": 1.0
},
"800+": {
"n": 1,
"logp_close":
/home/keith/gemma-v2/wsp31/authors/claude/scratch/job6/ad/A40 /home/keith/gemma-v2/wsp31/authors/claude/scratch/job6/ad/A20 /home/keith/gemma-v2/wsp31/authors/claude/scratch/job6/ad/A10
A40,A40c,A20c,A30,A60tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/tools; sed -n 126,200p g31.py; grep -n "def write_dir" -A 45 netops.py | head -120'
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2; ls results/wsp31/batches/x008/base/rebench/shard0_gpu0/ | head; ls results/wsp31/batches/x008/base/rebench/shard0_gpu0/requests | head -3; f=$(ls results/wsp31/batches/x008/base/rebench/shard0_gpu0/requests/* | head -1); head -c 600 $f; echo; head -1 $f | /home/keith/gemma-v2/tii-venv/bin/python -c "
import json,sys
r=json.loads(sys.stdin.readline()); print({k:(type(v).__name__, len(v) if hasattr(v,\"__len__\") else v) for k,v in r.items()})"; /home/keith/gemma-v2/tii-venv/bin/python /home/keith/gemma-v2/wsp31/tools/tok.py ids "Wait" " Wait" "wait" " wait" "Actually" " Actually" "Hmm" " Hmm" "Hold" " Hold" "<|channel>" "<channel|>" 2>&1 | head -30'output
vLLM server. `mirror=True` (default) rounds activations to bf16 at the points where vLLM does; `mirror=False` (29 lines, middle cut at capture)
vLLM server. `mirror=True` (default) rounds activations to bf16 at the points where vLLM does; `mirror=False`
keeps fp32 activations (bf16-valued weights), which is the cleaner reference for interpretability work.
"""
def __init__(self, device="cuda:0", model_dir=MODEL_DIR, mirror=True, cache_dense=False, layers=None):
from safetensors import safe_open
self.arch = Arch(model_dir)
self.dev = torch.device(device)
self.mirror = mirror
self.cache_dense = cache_dense
self._dense = {}
self.adapter = None
self.override = {} # (layer, mod) -> dense bf16 [out, in] replacement weight (full-rank edits)
self.f = safe_open(os.path.join(model_dir, "model.safetensors"), framework="pt", device=str(self.dev))
g = self.f.get_tensor
[line removed by the dashboard scrubber]
self.final_norm = g(LM + "norm.weight")
# vLLM: torch.tensor(hidden_size ** 0.5) registered as a buffer and cast to the model dtype
self.normalizer = torch.tensor(self.arch.d ** 0.5).to(BF).to(self.dev)
self.L = {}
[... 93 lines cut ...]
133- U, V = W @ (S * w).float().T, (S / w)
134- else:
135- U, V = W @ S.float().T, S
136- self.add(l, mod, alpha * U, V.float())
137- n += 1
138- self.notes.append(dict(op="read_dir", layers=[int(x) for x in layers], mods=list(mods), alpha=alpha,
139- space=space, matrices=n))
140- return noutput
patches
requests
task_results.jsonl
traces
[task].jsonl
HIPS__autograd.ac044f0d.lm_rewrite__cetfos0u.jsonl
Mimino666__langdetect.a1598f1a.func_basic__rku38xih.jsonl
{"messages": [{"role": "system", "content": "You are a principal Python software engineer resolving a repository issue in `/workspace`.\nYour sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run.\n\n## Critical Environment & Grader Rules\n1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include=\"*.py\"` for fast exact searches so you never
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[20470, 138, 20470, 4491, 138, 12429, 38403, 138, 68755, 169059, 138, 115898, 21007, 138, 66639, 236743, 100, 236743, 101]
['Wait', ' ', 'Wait', ' wait', ' ', 'wait', ' Actually', ' ', 'Actually', ' Hmm', ' ', 'Hmm', ' Hold', ' ', 'Hold', ' ', '<|channel>', ' ', '<channel|>']tool
Bash: mkdir -p /c/Users/Owner/wsp31_loop/work/claude/t14 && cd /c/Users/Owner/wsp31_loop/work/claude/t14 && cat > wait_stats14.py <<'EOF' (95 lines, middle cut at capture)
Bash: mkdir -p /c/Users/Owner/wsp31_loop/work/claude/t14 && cd /c/Users/Owner/wsp31_loop/work/claude/t14 && cat > wait_stats14.py <<'EOF'
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Usage: wait_stats14.py OUT.json BATCH:ARM [BATCH:ARM ...]"""
import json, sys, os, glob, collections, statistics as st
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R = "/home/keith/gemma-v2"
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OPEN, CLOSE = 100, 101
out = sys.argv[1]
runs = [a.split(":") for a in sys.argv[2:]]
def dec(i):
return tok.decode([i])
line_start = collections.Counter(); line_start_long = collections.Counter(); allc = collections.Counter()
thoughts = [] # (run, inst, call, length, closed, ids)
eps = {}
for b, a in runs:
d = "%s/results/wsp31/batches/%s/%s/rebench/shard0_gpu0/" % (R, b, a)
res = {}
for l in open(d + "task_results.jsonl"):
r = json.loads(l); res[r["instance_id"]] = r
for f in sorted(glob.glob(d + "requests/*.jsonl")):
inst = os.path.basename(f)[:-6]
inst = inst.split("__r")[0] if inst not in res else inst
if inst not in res:
continue
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for ci, l in enumerate(open(f)):
r = json.loads(l)
if not r.get("is_agent_call", True):
continue
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if OPEN in c[:3]:
s = c.index(OPEN) + 1
e = c.index(CLOSE) if CLOSE in c else len(c)
th = c[s:e]
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nl = {}
def is_nl(i):
if i not in nl:
nl[i] = dec(i).endswith("\n")
return nl[i]
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for p, t in enumerate(th):
allc[t] += 1
if p > 0 and is_nl(th[p - 1]):
line_start[t] += 1
if n >= 1000:
line_start_long[t] += 1
tot_ls = sum(line_start.values()); tot_long = sum(line_start_long.values())
print("line starts", tot_ls, "in thoughts >=1000:", tot_long)
rows = []
for t, c in line_start.most_common(400):
cl = line_start_long[t]
rows.append((t, dec(t), c, cl, (cl / max(1, tot_long)) / (max(1, c - cl) / max(1, tot_ls - tot_long))))
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for r in rows[:45]:
print(" %7d %-14r %6d %6d %5.2f" % r)
print("most enriched in long thoughts (count>=40):")
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print(" %7d %-14r %6d %6d %5.2f" % r)
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FAM = {"wait", "actually", "hmm", "hold", "oops"}
fam_ids = sorted(t for t in allc if dec(t).strip().lower().strip(",.:!") in FAM)
print("family ids:", [(t, dec(t), allc[t]) for t in fam_ids])
WAIT = [t for t in fam_ids if dec(t).strip().lower().strip(",.:!") == "wait"]
def report(name, ids):
ids = set(ids)
bins = collections.OrderedDict((k, [0, 0, 0, 0]) for k in ["<200", "200-999", "1000-3999", ">=4000"])
after = 0; total_think = 0; n_with = 0
perep = collections.Counter()
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k = "<200" if n < 200 else "200-999" if n < 1000 else "1000-3999" if n < 4000 else ">=4000"
pos = [p for p, t in enumerate(th) if t in ids]
bins[k][0] += 1; bins[k][1] += bool(pos); bins[k][2] += len(pos); bins[k][3] += n
total_think += n
if pos:
n_with += 1; after += n - pos[0]
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for k, v in bins.items():
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# outcome
for lo, hi in [(0, 0), (1, 2), (3, 6), (7, 15), (16, 10 ** 6)]:
ks = [k for k in eps if lo <= perep[k] <= hi]
if ks:
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return dict(perep={"|".join(k): v for k, v in perep.items()})
o = {}
o["wait"] = report("Wait only " + str([(t, dec(t)) for t in WAIT]), WAIT)
[... 916 characters cut ...]output
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line starts 103413 in thoughts >=1000: 44266
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144 ' ' 11958 5555 1.16
2717 '```' 10073 4284 0.99
140 ' ' 7725 3510 1.11
148 ' ' 7649 4030 1.49
6481 'Let' 6303 1512 0.42
20470 'Wait' 6075 2187 0.75
236929 '`' 5298 2542 1.23
2859 'If' 4639 2515 1.58
818 'The' 3586 923 0.46
152 ' ' 3507 2042 1.86
236777 'I' 2601 342 0.20
4324 'So' 2511 1307 1.45
4573 'But' 2087 1151 1.64
156 ' ' 1727 1001 1.84
2094 'This' 1690 773 1.13
902 'In' 1348 548 0.92
6445 'Now' 1328 191 0.22
[... 87 lines cut ...]
rubik__radon.54b88e58.func_b 61 636 56 | something in `radon/raw.py` related to how SLOC, comments, and blank lines are counted. / / || Wait, the user message is just "For context:[model] said: ...". It doesn't actually give me a bug report or an issue
[task] 22 51 29 | grep` returned nothing, which means I've replaced all occurrences of `length / self.radius_stator`. / / || Wait, I should check for `self.length / self.radius_stator` as well. /
[task] 52 1490 1081 | need to import `signal` first. / / `import sys` is already there. / / Let's do it. / / || Wait, I should also check if `signal` is already imported in `copier/_main.py`. I did, it's not.
rubik__radon.54b88e58.func_b 6 47 2 | thought / || Wait, I missed the `loc` calculation change! I need to change `loc = sloc + blank + multi - single_comments` to
[task] 0 908 851 | .__setattr__` / `__main__.Expected` / / Wait, `Example.foo` is not there. / || Wait, maybe I should just run the reproduction script and see for myself. / / The problem statement says: "will never test doctes
alerta__python-alerta-client 15 1159 871 | / `alertaclient/commands/cmd_heartbeats.py:97: origin=origin,` / / || Wait, I should also check if `origin` is used as a variable elsewhere in `cmd_heartbeats.py`. / Looking at the file
jd__tenacity.0d40e76f.combin 15 1071 219 | do` was `DoAttempt` at some point? No, `do` is the result of the LAST action. / / || Wait, let's look at `Retrying.__iter__` again. / / ```python / while True: / do = self.
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Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/tools; sed -n 1,40p netops.py | cut -c1-220; grep -n "def _dirs" -A 22 netops.py | cut -c1-200; grep -n "def rand_dirs" -A 14 netops.py | cut -c1-200; grep -n "def match_sizes" -A 6 netops.py | cut -c1-200; grep -n "def rms" -A 8 g31.py; sed -n 340,356p g31.py; grep -n "def norm\b\|def norm(" -A 10 edits.py | head -30; grep -n "def embed" -A 6 edits.py'output
"""netops.py: network-wide operations of EditSet (edits.py), for edits of the size real training makes: many layers, (29 lines, middle cut at capture)
"""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)
e.read_dir(range(60), D, alpha=1.0) # every q/k/v/gate/up_proj: dW = alpha * W P
e.scale_to(per_matrix=1.0, net_rel=0.003) # every changed matrix the same relative size, whole network 0.3%
c = EditSet(); c.write_dir(range(60), EditSet.rand_dirs(D, seed=0)); c.read_dir(...); c.match_sizes(e)
e.net_rel(), e.sizes(), e.scale(0.5), e.control("orth"), e.reduce(32)
D is one direction [5376] or several [k, 5376] for all layers, or a dict {layer: tensor} or a function layer ->
tensor for one direction set per layer (layers missing from a dict are skipped). The directions are orthonormalised;
the edit of a matrix has rank k. "Whole network" (net_rel) is sqrt(sum |dW|_F^2) / sqrt(sum |W|_F^2) over all 420
entries of data/fro_norms.json, the same yardstick as train_size.py.
Two facts of the architecture decide what such an edit does (ARCH.md): (1) the output of o_proj and of down_proj
passes through an RMS norm before it reaches the residual stream, so multiplying a whole writer by a constant does
nothing; amplifying a direction changes the direction of the write, not its length. (2) readers see the stream after
an RMS norm with a learned weight per coordinate, and those weights span 1e-6 to 1e3. space="module" (default) takes
D in the module's own space (reader input after the norm, writer output before the norm) and is the plain orthogonal
[... 101 lines cut ...]
127- # ---- edits ----------------------------------------------------------------------------------------------
123: def embed(self, tok):
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126-
127- # ---- edits ----------------------------------------------------------------------------------------------
128- def _check(self, l, mod):
129- assert 0 <= l < self.arch.n_layers and mod in g31.MODS, (l, mod)tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/tools; grep -n " def forward" -A 12 g31.py | cut -c1-240; grep -n "def logprobs_from_final" -A 8 g31.py; grep -n "def orthonormal" -A 8 netops.py; grep -n "def sizes\|def net_rel\|def save\|def control\|def scale\b\|def scale(" edits.py netops.py; /home/keith/gemma-v2/tii-venv/bin/python - <<EOF
import sys; sys.path.insert(0, "/home/keith/gemma-v2/wsp31/tools")
from edits import EditSet
import torch
e = EditSet()
for l in (0, 20, 40, 59):
for n in ("post_attention_layernorm", "post_feedforward_layernorm"):
w = e.norm(l, n)
q = torch.quantile(w.abs(), torch.tensor([0.0, 0.01, 0.5, 0.99, 1.0]))
print(l, n, [round(float(x), 5) for x in q], "neg", int((w < 0).sum()))
EOF'output
276: def forward(self, ids, out_pos=None, capture=None, cap_layers=None, cap_pos=None, hooks=None, stop_after=None, (29 lines, middle cut at capture)
276: def forward(self, ids, out_pos=None, capture=None, cap_layers=None, cap_pos=None, hooks=None, stop_after=None,
277- topk=None):
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279-
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282- capture: iterable of names from CAPS, taken at cap_pos (default out_pos) for cap_layers (default all):
283- resid_pre (layer input), attn_out (attention write after its post-norm), resid_mid, mlp_in (MLP input after
284- the pre-feedforward norm: what gate_proj/up_proj rows read), gate, up (pre-activations), mlp_act
285- (gelu_tanh(gate) * up: the neuron activations that down_proj columns write), mlp_raw (down_proj output),
286- mlp_out (MLP write after its post-norm), resid_post (layer output after layer_scalar).
287- hooks: {(name, layer): fn(tensor [N, dim]) -> tensor} applied to the full-sequence tensor at that point.
288- stop_after: stop after this layer index (no log-probs returned).
357: def logprobs_from_final(self, hp):
358- """Final-norm output [n, d] -> log-probabilities (tied unembedding, soft cap 30, log-softmax in fp32)."""
359- cap = self.arch.softcap
360- if self.mirror:
361- # vLLM LogitsProcessor: divide, tanh and multiply are each done in bf16; the sampler then casts to fp32
362- logits = F.linear(hp.to(BF), self.emb)
363- if cap:
[... 16 lines cut ...]
0 post_attention_layernorm [0.01184, 0.01453, 0.01794, 19.625, 19.625] neg 0
0 post_feedforward_layernorm [0.00368, 0.00439, 0.53906, 4.71875, 4.71875] neg 0
20 post_attention_layernorm [0.0005, 0.00056, 0.05469, 0.73438, 0.73438] neg 0
20 post_feedforward_layernorm [0.00052, 0.00065, 0.42578, 0.67969, 0.67969] neg 0
40 post_attention_layernorm [0.00084, 0.00098, 1.05469, 1.05469, 1.05469] neg 0
40 post_feedforward_layernorm [0.00194, 0.00571, 2.20312, 2.20312, 2.20312] neg 0
59 post_attention_layernorm [0.00152, 0.00176, 1.5625, 1.88281, 1.88281] neg 0
59 post_feedforward_layernorm [0.04712, 0.05908, 1.96875, 10.0, 63.0] neg 0tool
Bash: cat > ban_build.py <<'EOF' (88 lines, middle cut at capture)
Bash: cat > ban_build.py <<'EOF'
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weight g, soft cap after it), so the logit of t relative to the vocabulary mean is v_t . h / rms(h) with
v_t = g * (e_t - mean_s e_s) (stream space; mean over all rows of the embedding matrix).
The stream h is the embedding plus the block writes, and a block write is w * n (n: the RMS-normalised output of
o_proj or down_proj, w: the weight of the norm behind it, post_attention_layernorm or post_feedforward_layernorm),
times layer scalars. The write has no component along v_t exactly when (v_t * w) . n = 0, so for every layer L and
every writer M the edit is the orthogonal projector in the module's output space
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What is left of the logit of t is the embedding path only.
ctrl: the same code path with, for every layer and writer, random orthonormal directions orthogonal to the span above
(NetOps.rand_dirs, seed SEED), each matrix rescaled to the |dW|_F of the edit (match_sizes): same matrices, rank, size.
"""
import sys
import torch
sys.path.insert(0, "/home/keith/gemma-v2/wsp31/tools")
import g31 # noqa: E402
from edits import EditSet # noqa: E402
from netops import NORM_OUT # noqa: E402
out, kind = sys.argv[1], sys.argv[2]
toks = [int(x) for x in sys.argv[3].split(",")]
alpha = float(sys.argv[4]) if len(sys.argv) > 4 else -1.0
seed = int(sys.argv[5]) if len(sys.argv) > 5 else 14
assert kind in ("edit", "ctrl")
torch.set_num_threads(12)
e = EditSet()
f = e._file()
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gfin = f.get_tensor(g31.LM + "norm.weight").double()
mean = emb.double().mean(0)
V = torch.stack([gfin * (emb[t].double() - mean) for t in toks]) # [k, d] stream space
del emb
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"cos(v_0, v_j) %s" % [round(float(torch.nn.functional.cosine_similarity(V[0], V[j], dim=0)), 3) for j in range(len(toks))])
layers = list(range(60))
c = EditSet() if kind == "ctrl" else None
for mod in ("o_proj", "down_proj"):
D = {l: V * e.norm(l, NORM_OUT[mod]).double()[None, :] for l in layers}
e.write_dir(layers, D, alpha=alpha, mods=(mod,), space="module")
if c is not None:
c.write_dir(layers, EditSet.rand_dirs(D, seed=seed + (0 if mod == "o_proj" else 500)), alpha=alpha, mods=(mod,), space="module")
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if c is not None:
nr = c.match_sizes(e)
rep = c.save(out, note=note)
print("saved ctrl", out, "r", rep["r"], "net_rel %.6f" % float(c.net_rel()), "edit net_rel %.6f" % float(e.net_rel()))
else:
rep = e.save(out, note=note)
s = e.sizes()
rel = sorted((v["rel"] if "rel" in v else 0.0, k) for k, v in s.items()) if isinstance(s, dict) else []
print("saved edit", out, "r", rep["r"], "net_rel %.6f" % float(e.net_rel()), "matrices", len(s))
if rel:
print("smallest", rel[:2], "largest", rel[-2:])
EOF
cat > ban_cpu_test.py <<'EOF'
"""ban_cpu_test.py OUT.jsonl N_CTX NAME=DIR [NAME=DIR ...] (author claude, turn 14; CPU forward pass, no GPU)
GPU 0 was taken by a sealed run for the whole turn, so this pre-test runs tools/g31.py on the CPU (device="cpu",
mirror=False: fp32 activations, bf16-valued weights). Contexts: logged calls of the unedited arm `base` of batch x008
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import glob, json, os, sys, time
import torch
sys.path.insert(0, "/home/keith/gemma-v2/wsp31/tools")
import g31 # noqa: E402
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R = "/home/keith/gemma-v2"
torch.set_num_threads(int(os.environ.get("NT", "24")))
out, nctx = sys.argv[1], int(sys.argv[2])
arms = [a.split("=", 1) for a in sys.argv[3:]]
BAN = {20470, 29202}
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d = R + "/resul
[... 3716 characters cut ...]output
Exit code 2 /usr/bin/bash: -c: line 65: unexpected EOF while looking for matching `''
tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\ban_build.py
output
File created successfully at: C:\Users\Owner\wsp31_loop\work\claude\t14\ban_build.py (file state is current in your context — no need to Read it back)
tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\ban_cpu_test.py
output
File created successfully at: C:\Users\Owner\wsp31_loop\work\claude\t14\ban_cpu_test.py (file state is current in your context — no need to Read it back)
tool
Bash: scp -q ban_build.py ban_cpu_test.py wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/ && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" code/ban_build.py code/ban_cpu_test.py; mkdir -p scratch/job14/ad; . /home/keith/gemma-v2/env.sh; (time $PY code/ban_build.py scratch/job14/ad/W2 edit 20470,29202) 2>&1 | grep -v Warn | tail -12; date'
output
[line removed by the dashboard scrubber] saved edit scratch/job14/ad/W2 r 2 net_rel 0.007531 matrices 120 real 0m29.209s user 1m36.601s sys 1m30.833s Sat Nov 14 02:33:18 PM EST 2026
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; . /home/keith/gemma-v2/env.sh; NT=24 nohup $PY code/ban_cpu_test.py scratch/job14/cpu_W2.jsonl 2 W2=scratch/job14/ad/W2 > scratch/job14/cpu_W2.log 2>&1 & sleep 45; grep -v Warn scratch/job14/cpu_W2.log | tail -5; free -g | head -2 | tail -1'
output
contexts [('r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im', 1, 3187, 395, 3)]
Mem: 183 90 12 1 84 93tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; . /home/keith/gemma-v2/env.sh; $PY code/ban_build.py scratch/job14/ad/W2c ctrl 20470,29202 2>&1 | grep -v Warn | tail -3; $PY code/ban_build.py scratch/job14/ad/W4 edit 20470,29202,68755,38403 2>&1 | grep -v Warn | tail -3; $PY $R/wsp31/tools/check_adapter.py scratch/job14/ad/W2 | tail -1; $PY $R/wsp31/tools/check_adapter.py scratch/job14/ad/W2c | tail -1; grep -v Warn scratch/job14/cpu_W2.log | tail -8; date; ps aux --sort=-rss | head -5 | cut -c1-150'
output
[line removed by the dashboard scrubber] saved ctrl scratch/job14/ad/W2c r 2 net_rel 0.007531 edit net_rel 0.007531 [line removed by the dashboard scrubber] saved edit scratch/job14/ad/W4 r 4 net_rel 0.010585 matrices 120 OK W2: 120 modules changed (of 120 present), r=2, max |dW|_F/|W|_F 0.02702 at 12.o_proj Command did not complete within its 120s timeout and was moved to the background (ID: biazwbe64). Output is being written to: C:\Users\Owner\AppData\Local\Temp\claude\406550b45259dbef\5dcc735b-9a65-43a2-9408-639c85dc131e\tasks\biazwbe64.output. You will be notified when it completes. If it is still running after 10m in the background, it will be stopped and you will be notified. It is running now: do not start a second copy while it runs. If it is no longer needed, stop it with TaskStop. To check interim output, use Read on that file path.
tool
Bash: sleep 60; ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; grep -v Warn scratch/job14/cpu_W2.log | tail -8 | cut -c1-1500; date; uptime'
output
<tool_use_error>Blocked: sleep 60 followed by: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; grep -v Warn scratch/job14/cpu_W2.log | tail -8 | cut -c1-1500; date; uptime'. To wait for a condition, use Monitor with an until-loop (e.g. `until <check>; do sleep 2; done`). To wait for a command you started, use run_in_background: true. Do not chain shorter sleeps to work around this block.</tool_use_error>
tool
Bash: tail -n 12 "C:\Users\Owner\AppData\Local\Temp\claude\406550b45259dbef\5dcc735b-9a65-43a2-9408-639c85dc131e\tasks\biazwbe64.output" | cut -c1-1800
output
saved edit scratch/job14/ad/W4 r 4 net_rel 0.010585 matrices 120
OK W2: 120 modules changed (of 120 present), r=2, max |dW|_F/|W|_F 0.02702 at 12.o_proj
OK W2c: 120 modules changed (of 120 present), r=2, max |dW|_F/|W|_F 0.02702 at 12.o_proj
contexts [('r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im', 1, 3187, 395, 3)]
Sat Nov 14 02:36:20 PM EST 2026
USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND
keith 2502168 1214 39.9 87251536 77002476 ? Rl 14:28 94:08 /home/keith/gemma-v2/tii-venv/bin/python -u /home/keith/gemma-v2/wsp31/authors/gpt/
keith 2546754 1530 6.4 33322344 12384136 ? Rl 14:33 43:51 /home/keith/gemma-v2/tii-venv/bin/python code/ban_cpu_test.py scratch/job14/cpu_W2.
keith 2057580 168 2.9 136275612 5732024 ? Rl 13:42 91:01 VLLM::EngineCore
keith 2374353 127 2.6 137451648 5076652 ? Rl 14:21 18:21 VLLM::EngineCore
[exited with code 0]tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; until grep -q "base pass" scratch/job14/cpu_W2.log; do sleep 5; done; grep -v Warn scratch/job14/cpu_W2.log | tail -3; date'
output
Command running in background with ID: bp3q7fa0n. Output is being written to: C:\Users\Owner\AppData\Local\Temp\claude\406550b45259dbef\5dcc735b-9a65-43a2-9408-639c85dc131e\tasks\bp3q7fa0n.output. You will be notified when it completes. To check interim output, use Read on that file path.
tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\wait_pairs14.py
output
File created successfully at: C:\Users\Owner\wsp31_loop\work\claude\t14\wait_pairs14.py (file state is current in your context — no need to Read it back)
tool
Bash: scp -q wait_pairs14.py wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/ && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" code/wait_pairs14.py; . /home/keith/gemma-v2/env.sh; $PY code/wait_pairs14.py x004 x006 x008 2>&1 | tail -20; grep -v Warn scratch/job14/cpu_W2.log | tail -3 | cut -c1-600; date'
output
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discordant pairs (same task, same weights, one run solved and one not): 41
wait solved run mean 33.0 failed run mean 48.0 | solved run lower in 25, higher in 14, equal 2
think solved run mean 8249.4 failed run mean 9886.0 | solved run lower in 32, higher in 9, equal 0
tot solved run mean 11343.3 failed run mean 12923.8 | solved run lower in 27, higher in 14, equal 0
calls solved run mean 34.4 failed run mean 38.7 | solved run lower in 25, higher in 15, equal 1
longest solved run mean 1908.0 failed run mean 2425.0 | solved run lower in 26, higher in 14, equal 1
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contexts [('r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im', 1, 3187, 395, 3)]
Sat Nov 14 02:37:27 PM EST 2026tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; cat code/mkrec11.py | cut -c1-220 | head -80; grep -n "^## \|^size:\|^control size:\|^base:\|predicted_gain" queue/mk-pair-global-b20/record.md; ls queue/mk-pair-global-b20/'
output
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the record with the runner's parser."""
import json
import os
import sys
import torch
A = "/home/keith/gemma-v2/wsp31/authors/claude"
slug, tpl, arms = sys.argv[1], sys.argv[2], sys.argv[3].split(",")
st = torch.load(A + "/code/data/fcv2_stats.pt")
LBL = {"H23": "this entry (H23)", "Q20": "global layers, dose 2 (Q20)", "Q30": "global layers, dose 3 (Q30)", "M20": "all 14 layers, dose 2 (M20)",
"Q10": "global layers, dose 1 (Q10)", "Q40": "global layers, dose 4 (Q40)", "Q20c": "control of Q20", "Q30c": "control of Q30", "Q40c": "control of Q40"}
def close_txt():
L = []
for k in arms:
p = A + "/scratch/logs/close11_%s.log" % k
[... 64 lines cut ...]
68:control size: whole network 0.1662% over 7 matrices, largest matrix 3.1560%
146:## Prediction (written before the run)
148:predicted_gain_120: -5 to 7
READY
build.sh
ctrl
edit
record.mdtool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; grep -v Warn scratch/job14/cpu_W2.log | tail -6 | cut -c1-1500; date; uptime; ps -o pid,nlwp,pcpu,etimes,cmd -p $(pgrep -f ban_cpu_test | head -1) | cut -c1-120'
output
contexts [('r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im', 1, 3187, 395, 3)]
Sat Nov 14 02:37:54 PM EST 2026
14:37:54 up 1 day, 20:40, 10 users, load average: 35.22, 29.07, 17.30
PID NLWP %CPU ELAPSED CMD
2546754 94 1569 265 /home/keith/gemma-v2/tii-venv/bin/python code/ban_cpu_test.py scratch/job14/cpu_W2.jsonl 2 W2=tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\wait_lp14.py
output
File created successfully at: C:\Users\Owner\wsp31_loop\work\claude\t14\wait_lp14.py (file state is current in your context — no need to Read it back)
tool
Bash: scp -q wait_lp14.py wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/ && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" code/wait_lp14.py; . /home/keith/gemma-v2/env.sh; $PY code/wait_lp14.py x004 x006 x008 2>&1 | grep -v Warn | tail -14 | cut -c1-400; grep -v Warn scratch/job14/cpu_W2.log | tail -6 | cut -c1-1800; date'
output
logprob entry looks like: [-0.0017864234978333116, -0.00020466140995267779] (14 lines)
logprob entry looks like: [-0.0017864234978333116, -0.00020466140995267779]
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p(Wait) below 0.50 (log-odds below +0.00): 33.0%
p(Wait) below 0.60 (log-odds below +0.41): 53.0%
p(Wait) below 0.70 (log-odds below +0.85): 68.0%
p(Wait) below 0.80 (log-odds below +1.39): 79.8%
p(Wait) below 0.90 (log-odds below +2.20): 88.7%
p(Wait) below 0.95 (log-odds below +2.94): 92.9%
p(Wait) below 0.99 (log-odds below +4.60): 96.3%
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contexts [('r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im', 1, 3187, 395, 3)]
r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im 1 base pass 289 s
Sat Nov 14 02:38:56 PM EST 2026tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\ban_cpu_test2.py
output
File created successfully at: C:\Users\Owner\wsp31_loop\work\claude\t14\ban_cpu_test2.py (file state is current in your context — no need to Read it back)
tool
Bash: scp -q ban_cpu_test2.py wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/ && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" code/ban_cpu_test2.py; . /home/keith/gemma-v2/env.sh; NT=20 nohup $PY code/ban_cpu_test2.py scratch/job14/cpu 0 base=x W2=scratch/job14/ad/W2 > scratch/job14/cpu_ctx0.log 2>&1 & sleep 40; grep -v Warn scratch/job14/cpu_ctx0.log | tail -3 | cut -c1-300; grep -v Warn scratch/job14/cpu_W2.log | tail -6 | cut -c1-2500; date'
output
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contexts [('r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im', 1, 3187, 395, 3)]
r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im 1 base pass 289 s
Sat Nov 14 02:40:37 PM EST 2026tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\build_ban-wait-writers.sh
output
File created successfully at: C:\Users\Owner\wsp31_loop\work\claude\t14\build_ban-wait-writers.sh (file state is current in your context — no need to Read it back)
tool
Bash: ssh -o BatchMode=yes wrx90 'mkdir -p /home/keith/gemma-v2/wsp31/authors/claude/queue/ban-wait-writers' && scp -q build_ban-wait-writers.sh wrx90:/home/keith/gemma-v2/wsp31/authors/claude/queue/ban-wait-writers/build.sh && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" queue/ban-wait-writers/build.sh; chmod +x queue/ban-wait-writers/build.sh; bash queue/ban-wait-writers/build.sh 2>&1 | grep -v Warn | tail -6; sha256sum queue/ban-wait-writers/edit/adapter_model.safetensors scratch/job14/ad/W2/adapter_model.safetensors queue/ban-wait-writers/ctrl/adapter_model.safetensors scratch/job14/ad/W2c/adapter_model.safetensors | cut -c1-90; . /home/keith/gemma-v2/env.sh; export WSP31_WORK=$PWD/scratch; $PY $R/wsp31/tools/train_size.py scratch/size_ban-wait-writers.json mine=queue/ban-wait-writers/edit ctrl=queue/ban-wait-writers/ctrl 2>&1 | tail -4 | cut -c1-400; date'
output
Command did not complete within its 120s timeout and was moved to the background (ID: bpe0p3nfe). Output is being written to: C:\Users\Owner\AppData\Local\Temp\claude\406550b45259dbef\5dcc735b-9a65-43a2-9408-639c85dc131e\tasks\bpe0p3nfe.output. You will be notified when it completes. If it is still running after 10m in the background, it will be stopped and you will be notified. It is running now: do not start a second copy while it runs. If it is no longer needed, stop it with TaskStop. No output had been read from it when it was moved. A program that buffers its output, or a pipe into one such as tail, can keep the output file empty until the command finishes. To check interim output, use Read on that file path.
tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\ban_scan14.py
output
File created successfully at: C:\Users\Owner\wsp31_loop\work\claude\t14\ban_scan14.py (file state is current in your context — no need to Read it back)
tool
Bash: scp -q ban_scan14.py wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/ && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" code/ban_scan14.py; grep -v Warn scratch/job14/cpu_W2.log | tail -6 | cut -c1-3000; echo; grep -v Warn scratch/job14/cpu_ctx0.log | tail -4 | cut -c1-600; date'
output
contexts [('r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im', 1, 3187, 395, 3)]
r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im 1 base pass 289 s
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Sat Nov 14 02:43:20 PM EST 2026tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; until grep -q "W2: log p(close)" scratch/job14/cpu_W2.log; do sleep 5; done; grep -v Warn scratch/job14/cpu_W2.log | tail -6 | cut -c1-3000; date'
output
r1chardj0n3s__parse.30da9e4f.func_basic__83wal9im 1 W2 pass 358 s [line removed by the dashboard scrubber] [line removed by the dashboard scrubber] [line removed by the dashboard scrubber] W2: log p(close) at the logged close base -0.001 arm -0.015 | arm top there '<channel|>' | mean log p(close) inside the thought base -24.92 arm -21.06 done Sat Nov 14 02:44:20 PM EST 2026
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; . /home/keith/gemma-v2/env.sh; $PY - <<EOF 2>&1 | grep -v Warn | cut -c1-900
import json
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r = json.loads(open("scratch/job14/cpu_W2.jsonl").readline())
nxt = r["nxt"]; b = r["res"]["base"]; a = r["res"]["W2"]
for k, t in enumerate(nxt):
if t in (20470, 29202):
print("pos", k)
print(" base:", [(tok.decode([i]), round(v, 2)) for i, v in zip(b["top8"][k], b["top8v"][k])])
print(" W2 :", [(tok.decode([i]), round(v, 2)) for i, v in zip(a["top8"][k], a["top8v"][k])])
fl = [k for k, t in enumerate(nxt) if t not in (20470, 29202) and a["top"][k] != b["top"][k]]
for k in fl[:5]:
print("flip pos", k, "logged", repr(tok.decode([nxt[k]])))
print(" base:", [(tok.decode([i]), round(v, 2)) for i, v in zip(b["top8"][k][:5], b["top8v"][k][:5])])
print(" W2 :", [(tok.decode([i]), round(v, 2)) for i, v in zip(a["top8"][k][:5], a["top8v"][k][:5])])
EOF
tail -n 8 scratch/size_ban-wait-writers.json | cut -c1-300; grep -v Warn scratch/job14/cpu_ctx0.log | tail -3 | cut -c1-700; date'output
pos 3 (27 lines)
pos 3
base: [('Wait', -0.0), ('The', -5.45), ('Hmm', -8.56), ('That', -11.09), ('Hold', -11.66), ('Okay', -12.06), ('Something', -12.51), ('Interesting', -13.27)]
W2 : [(' uma', -0.95), (' de', -2.92), (' interesting', -3.0), (' The', -3.53), ('Interesting', -3.59), (' strange', -3.63), (' the', -3.7), (' hem', -3.86)]
pos 215
base: [('Wait', -0.3), ('Let', -2.33), ('Actually', -2.85), ('This', -3.38), ('Something', -3.49), ('Hold', -4.27), ('The', -5.04), ('That', -5.22)]
W2 : [(' uma', -1.82), ('This', -3.27), (' algo', -3.82), ('Something', -4.03), (' sinais', -4.14), (' Interesting', -4.49), ('Interesting', -4.82), ('Interestingly', -4.96)]
pos 295
base: [('Wait', -0.67), ('Actually', -1.36), ('It', -2.95), ('Let', -2.98), ('The', -3.03), ('Something', -3.65), ('Hold', -3.85), ('This', -4.11)]
W2 : [(' uma', -2.35), ('Actually', -3.76), ('It', -3.88), (' sinais', -4.17), (' algo', -4.32), ('Something', -5.23), (' algum', -5.25), (' strange', -5.42)]
flip pos 6 logged ' output'
base: [(' output', -0.73), (' reproduction', -0.96), (' results', -2.11), (' outputs', -4.7), (' actual', -6.35)]
W2 : [(' reproduction', -0.38), (' output', -1.53), (' results', -2.45), (' outputs', -5.18), (' reprodu', -5.94)]
flip pos 7 logged ' of'
base: [(' I', -0.71), (' of', -0.79), (' is', -3.46), (' from', -3.93), (' was', -5.93)]
W2 : [(' of', -0.44), (' I', -1.06), (' is', -4.94), (' from', -5.53), (' doesn', -7.96)]
flip pos 18 logged ' says'
base: [(' says', -0.87), (' said', -0.96), (' claimed', -1.79), (' claims', -4.09), (' stated', -4.41)]
W2 : [(' claimed', -0.83), (' said', -1.27), (' says', -1.47), (' claims', -3.88), (' stated', -4.36)]
flip pos 36 logged ':'
base: [(':', -0.63), (' ', -0.77), (' `', -5.76), (' own', -12.33), (' -', -12.51)]
W2 : [(' ', -0.69), (':', -0.72), (' `', -4.45), (' own', -10.02), (' poudre', -10.59)]
flip pos 119 logged ' output'
base: [(' output', -0.83), (' run', -1.32), (' reproduction', -1.86), (' actual', -2.4), (' execution', -3.42)]
W2 : [(' run', -1.08), (' output', -1.25), (' reproduction', -1.42), (' actual', -2.7), (' execution', -3.12)]
{"mine": {"summary": {"r": 2, "scale": 2.0, "changed": 120, "of": 420, "net_rel": 0.0075305744482798255, "rel_median": 0.018737588369318863, "rel_min": 0.00821163343387623, "rel_max": 0.02701835765143849, "rel_max_mod": "12.o_proj", "total_rel": 0.01928398080657811, "total_fro": 15.530234872286144,
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Sat Nov 14 02:45:14 PM EST 2026tool
Bash: python - <<'EOF'
p = "ban_build.py"
s = open(p).read()
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s = s.replace('''What is left of the logit of t is the embedding path only.
''', '''What is left of the logit of t is the embedding path only.
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v_t = g * (e_t - mean_{s in ALT_IDS} e_s),
the read-out direction of "t rather than its usual competitors". Then ALPHA = -1 leaves the logit of t equal to the
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''')
s = s.replace('''seed = int(sys.argv[5]) if len(sys.argv) > 5 else 14
''', '''seed = int(sys.argv[5]) if len(sys.argv) > 5 else 14
alt = [int(x) for x in sys.argv[6].split(",")] if len(sys.argv) > 6 else None
''')
s = s.replace('''mean = emb.double().mean(0)
''', '''mean = emb.double().mean(0) if alt is None else emb[alt].double().mean(0)
''')
[line removed by the dashboard scrubber]
open(p, "w", newline="\n").write(s)
EOF
grep -n "alt" ban_build.py | head; scp -q ban_build.py wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/ && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" code/ban_build.py; . /home/keith/gemma-v2/env.sh; $PY - <<EOF 2>&1 | grep -v Warn
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ids = [6481,2859,818,236777,4324,4573,2094,902,6445,3133,1509,11407,68755,19058,3689,24019,10784,3771,4602,31402]
print([tok.decode([i]) for i in ids])
EOF
ALT=6481,2859,818,236777,4324,4573,2094,902,6445,3133,1509,11407,68755,19058,3689,24019,10784,3771,4602,31402
$PY code/ban_build.py scratch/job14/ad/C100 edit 20470 -1.0 14 $ALT 2>&1 | grep -v Warn | tail -2
$PY code/ban_build.py scratch/job14/ad/C33 edit 20470 -0.3333 14 $ALT 2>&1 | grep -v Warn | tail -1
grep -v Warn scratch/job14/cpu_ctx0.log | tail -4 | cut -c1-700; date'output
39:alt = [int(x) for x in sys.argv[6].split(",")] if len(sys.argv) > 6 else None (13 lines)
39:alt = [int(x) for x in sys.argv[6].split(",")] if len(sys.argv) > 6 else None
46:mean = emb.double().mean(0) if alt is None else emb[alt].double().mean(0)
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['Let', 'If', 'The', 'I', 'So', 'But', 'This', 'In', 'Now', 'And', 'It', 'Then', 'Actually', 'Okay', 'What', 'Ah', 'Yes', 'No', 'Is', 'Maybe']
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saved edit scratch/job14/ad/C100 r 1 net_rel 0.005340 matrices 120
saved edit scratch/job14/ad/C33 r 1 net_rel 0.001780 matrices 120
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base pass 411 s
base: Wait positions 5, top there is Wait at 5 | runner-up: ['The', 'Actually', 'Total', 'If', 'Maybe'] | margin to runner-up (nats): [1.06, 0.65, 0.23, 0.51, 0.3]
base: log p(Wait) minus mean log p over the vocabulary at those positions: [29.4, 29.3, 28.6, 28.7, 28.1]
Sat Nov 14 02:47:19 PM EST 2026
[This command modified 1 file you've previously read: ban_build.py. Call Read before editing.]tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; . /home/keith/gemma-v2/env.sh; pkill -u keith -f "code/ban_cpu_test2.py scratch/job14/cpu 0" ; sleep 2; NT=16 nohup $PY code/ban_cpu_test2.py scratch/job14/cpu 0 C33=scratch/job14/ad/C33 C100=scratch/job14/ad/C100 > scratch/job14/cpu_ctx0b.log 2>&1 & NT=16 nohup $PY code/ban_cpu_test2.py scratch/job14/cpu 1 base=x C33=scratch/job14/ad/C33 C100=scratch/job14/ad/C100 > scratch/job14/cpu_ctx1.log 2>&1 & sleep 1; $PY code/ban_scan14.py scratch/job14/cpu/ctx0_resid.pt 2>&1 | grep -v Warn | tail -12; pgrep -af ban_cpu_test | cut -c1-120; date'
output
Exit code 255
tool
Bash: ssh -o BatchMode=yes wrx90 'pgrep -u keith -af "ban_cpu_tes[t]" | cut -c1-140; date'
output
Sat Nov 14 02:47:42 PM EST 2026
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; . /home/keith/gemma-v2/env.sh; NT=16 nohup $PY code/ban_cpu_test2.py scratch/job14/cpu 0 C33=scratch/job14/ad/C33 C100=scratch/job14/ad/C100 > scratch/job14/cpu_ctx0b.log 2>&1 & NT=16 nohup $PY code/ban_cpu_test2.py scratch/job14/cpu 1 base=x C33=scratch/job14/ad/C33 C100=scratch/job14/ad/C100 > scratch/job14/cpu_ctx1.log 2>&1 & sleep 1; $PY code/ban_scan14.py scratch/job14/cpu/ctx0_resid.pt 2>&1 | grep -v Warn | tail -12; pgrep -u keith -af "ban_cpu_tes[t]" | cut -c1-120; date' 2>&1 | cut -c1-400
output
scratch/job14/cpu/ctx0_resid.pt positions 971 Wait positions so far 5 (15 lines)
scratch/job14/cpu/ctx0_resid.pt positions 971 Wait positions so far 5 [line removed by the dashboard scrubber] ALPHA -0.03: capped logit of Wait falls by mean 0.13 (min 0.10 max 0.17) | Wait still on top at 5 of 5 ALPHA -0.05: capped logit of Wait falls by mean 0.23 (min 0.18 max 0.30) | Wait still on top at 4 of 5 ALPHA -0.08: capped logit of Wait falls by mean 0.40 (min 0.31 max 0.50) | Wait still on top at 3 of 5 ALPHA -0.10: capped logit of Wait falls by mean 0.51 (min 0.40 max 0.65) | Wait still on top at 2 of 5 ALPHA -0.15: capped logit of Wait falls by mean 0.85 (min 0.67 max 1.07) | Wait still on top at 1 of 5 ALPHA -0.20: capped logit of Wait falls by mean 1.26 (min 1.01 max 1.56) | Wait still on top at 1 of 5 ALPHA -0.30: capped logit of Wait falls by mean 2.34 (min 1.93 max 2.83) | Wait still on top at 0 of 5 ALPHA -0.50: capped logit of Wait falls by mean 6.01 (min 5.31 max 6.87) | Wait still on top at 0 of 5 ALPHA -1.00: capped logit of Wait falls by mean 28.81 (min 28.10 max 29.38) | Wait still on top at 0 of 5 2670768 bash -c cd /home/keith/gemma-v2/wsp31/authors/claude; . /home/keith/gemma-v2/env.sh; NT=16 nohup $PY code/ban_cp 2670769 /home/keith/gemma-v2/tii-venv/bin/python code/ban_cpu_test2.py scratch/job14/cpu 0 C33=scratch/job14/ad/C33 C100 2670770 /home/keith/gemma-v2/tii-venv/bin/python code/ban_cpu_test2.py scratch/job14/cpu 1 base=x C33=scratch/job14/ad/C Sat Nov 14 02:47:57 PM EST 2026
tool
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output
#!/bin/bash (13 lines)
#!/bin/bash # rebuilds edit/ and ctrl/ of wait-contrast-third (CPU, about a minute each; weights only, no statistics file is needed). [line removed by the dashboard scrubber] . /home/keith/gemma-v2/env.sh cd /home/keith/gemma-v2/wsp31/authors/claude ALT=6481,2859,818,236777,4324,4573,2094,902,6445,3133,1509,11407,68755,19058,3689,24019,10784,3771,4602,31402 $PY code/ban_build.py queue/wait-contrast-third/edit edit 20470 -0.3333 14 $ALT $PY code/ban_build.py queue/wait-contrast-third/ctrl ctrl 20470 -0.3333 14 $ALT $PY $R/wsp31/tools/check_adapter.py queue/wait-contrast-third/edit && $PY $R/wsp31/tools/check_adapter.py queue/wait-contrast-third/ctrl build.sh ctrl edit copied
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; for s in wait-contrast-full wait-contrast-third; do sed -i "s/\r$//" queue/$s/build.sh; chmod +x queue/$s/build.sh; bash queue/$s/build.sh 2>&1 | grep -v Warn | tail -5 | cut -c1-200; done; sha256sum queue/wait-contrast-full/edit/adapter_model.safetensors scratch/job14/ad/C100/adapter_model.safetensors queue/wait-contrast-third/edit/adapter_model.safetensors scratch/job14/ad/C33/adapter_model.safetensors | cut -c1-100; date' 2>&1 | tail -16
output
saved edit queue/wait-contrast-full/edit r 1 net_rel 0.005340 matrices 120 (15 lines)
saved edit queue/wait-contrast-full/edit r 1 net_rel 0.005340 matrices 120 [line removed by the dashboard scrubber] saved ctrl queue/wait-contrast-full/ctrl r 1 net_rel 0.005340 edit net_rel 0.005340 OK edit: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.0188 at 0.o_proj OK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.0188 at 0.o_proj saved edit queue/wait-contrast-third/edit r 1 net_rel 0.001780 matrices 120 [line removed by the dashboard scrubber] saved ctrl queue/wait-contrast-third/ctrl r 1 net_rel 0.001780 edit net_rel 0.001780 OK edit: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.006269 at 0.o_proj OK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.006268 at 0.o_proj b1a68c58d941c1f1c7845b3f0f718549289cd75d9703b88973d6fac226abf6c7 queue/wait-contrast-full/edit/adap b1a68c58d941c1f1c7845b3f0f718549289cd75d9703b88973d6fac226abf6c7 scratch/job14/ad/C100/adapter_mode e5d4e13454aeb7fb71615261038cc858392d24d3f4b99147862e412d8cce6847 queue/wait-contrast-third/edit/ada e5d4e13454aeb7fb71615261038cc858392d24d3f4b99147862e412d8cce6847 scratch/job14/ad/C33/adapter_model Sat Nov 14 02:52:27 PM EST 2026
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; . /home/keith/gemma-v2/env.sh; export WSP31_WORK=$PWD/scratch; nohup bash -c "until grep -q ^done scratch/job14/cpu_ctx0b.log; do sleep 5; done; NT=16 $PY code/ban_cpu_test2.py scratch/job14/cpu 0 C100c=queue/wait-contrast-full/ctrl > scratch/job14/cpu_ctx0c.log 2>&1" > /dev/null 2>&1 &
for s in wait-contrast-full wait-contrast-third; do $PY $R/wsp31/tools/train_size.py scratch/size_$s.json mine=queue/$s/edit ctrl=queue/$s/ctrl > scratch/size_$s.log 2>&1; $PY -c "
import json; d=json.load(open(\"scratch/size_$s.json\"))
for k in (\"mine\",\"ctrl\"):
x=d[k][\"summary\"]; print(\"$s\", k, \"whole network %.4f%% over %d matrices, largest matrix %.4f%%\" % (100*x[\"net_rel\"], x[\"changed\"], 100*x[\"rel_max\"]), \"stable rank\", x.get(\"stable_rank\", x.get(\"srank_median\")))
"; done; grep -v Warn scratch/job14/cpu_ctx0b.log | tail -5 | cut -c1-1500; grep -v Warn scratch/job14/cpu_ctx1.log | tail -3 | cut -c1-600; date'output
wait-contrast-full mine whole network 0.5340% over 120 matrices, largest matrix 1.8799% stable rank None wait-contrast-full ctrl whole network 0.5340% over 120 matrices, largest matrix 1.8803% stable rank None wait-contrast-third mine whole network 0.1780% over 120 matrices, largest matrix 0.6269% stable rank None wait-contrast-third ctrl whole network 0.1780% over 120 matrices, largest matrix 0.6268% stable rank None [line removed by the dashboard scrubber] base: Wait positions 5, top there is Wait at 5 | runner-up: ['The', 'Actually', 'Total', 'If', 'Maybe'] | margin to runner-up (nats): [1.06, 0.65, 0.23, 0.51, 0.3] base: log p(Wait) minus mean log p over the vocabulary at those positions: [29.4, 29.3, 28.6, 28.7, 28.1] [line removed by the dashboard scrubber] Sat Nov 14 02:52:45 PM EST 2026
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; until grep -q "C33: log p(close)" scratch/job14/cpu_ctx0b.log; do sleep 5; done; grep -v Warn scratch/job14/cpu_ctx0b.log | tail -5 | cut -c1-2500; grep -v Warn scratch/job14/cpu_ctx1.log | tail -3 | cut -c1-900; date'
output
C33 pass 466 s C33: Wait positions 5 | arm top is still Wait at 1 | arm top there: ['Wait', 'Actually', 'Total', 'If', 'Maybe'] C33: log p(Wait) there base -0.82 arm -1.45 [line removed by the dashboard scrubber] C33: log p(close) at the logged close base -0.000 arm -0.000 | arm top there '<channel|>' | mean log p(close) inside the thought base -25.55 arm -25.40 | positions inside the thought where close is on top: base 0 arm 0 base pass 412 s base: Wait positions 3, top there is Wait at 3 | runner-up: ['5', 'Let', 'Let'] | margin to runner-up (nats): [0.01, 0.78, 1.13] base: log p(Wait) minus mean log p over the vocabulary at those positions: [30.2, 29.2, 30.2] Sat Nov 14 02:55:45 PM EST 2026
tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\rec_full.md
output
File created successfully at: C:\Users\Owner\wsp31_loop\work\claude\t14\rec_full.md (file state is current in your context — no need to Read it back)
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; until grep -q "C100: log p(close)" scratch/job14/cpu_ctx0b.log; do sleep 5; done; grep -v Warn scratch/job14/cpu_ctx0b.log | tail -6 | cut -c1-2500; grep -v Warn scratch/job14/cpu_ctx1.log | tail -5 | cut -c1-1600; date'
output
C100 pass 465 s C100: Wait positions 5 | arm top is still Wait at 0 | arm top there: ['The', 'Actually', 'Total', 'If', 'Maybe'] C100: log p(Wait) there base -0.82 arm -10.24 [line removed by the dashboard scrubber] C100: log p(close) at the logged close base -0.000 arm -0.000 | arm top there '<channel|>' | mean log p(close) inside the thought base -25.55 arm -24.95 | positions inside the thought where close is on top: base 0 arm 0 done C33 pass 384 s C33: Wait positions 3 | arm top is still Wait at 0 | arm top there: ['5', 'If', 'Let'] C33: log p(Wait) there base -0.65 arm -1.71 [line removed by the dashboard scrubber] C33: log p(close) at the logged close base -0.044 arm -0.039 | arm top there '<channel|>' | mean log p(close) inside the thought base -25.18 arm -25.03 | positions inside the thought where close is on top: base 0 arm 0 Sat Nov 14 03:03:32 PM EST 2026
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; grep -v Warn scratch/job14/cpu_ctx1.log | tail -5 | cut -c1-1600; grep -v Warn scratch/job14/cpu_ctx0c.log | tail -5 | cut -c1-1500; date; flock -n /home/keith/gemma-v2/wsp31/gpu0.lock true && echo LOCK_FREE || echo LOCK_HELD; nvidia-smi --query-gpu=index,memory.used --format=csv,noheader'
output
C33 pass 384 s C33: Wait positions 3 | arm top is still Wait at 0 | arm top there: ['5', 'If', 'Let'] C33: log p(Wait) there base -0.65 arm -1.71 [line removed by the dashboard scrubber] C33: log p(close) at the logged close base -0.044 arm -0.039 | arm top there '<channel|>' | mean log p(close) inside the thought base -25.18 arm -25.03 | positions inside the thought where close is on top: base 0 arm 0 [line removed by the dashboard scrubber] base: Wait positions 5, top there is Wait at 5 | runner-up: ['The', 'Actually', 'Total', 'If', 'Maybe'] | margin to runner-up (nats): [1.06, 0.65, 0.23, 0.51, 0.3] base: log p(Wait) minus mean log p over the vocabulary at those positions: [29.4, 29.3, 28.6, 28.7, 28.1] Sat Nov 14 03:04:02 PM EST 2026 LOCK_FREE 0, 94686 MiB 1, 90564 MiB
tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\fill14.py
output
File created successfully at: C:\Users\Owner\wsp31_loop\work\claude\t14\fill14.py (file state is current in your context — no need to Read it back)
assistant
Now fix the template (title/role placeholders and the factual wording I flagged).
tool
Bash: python - <<'EOF'
p = "rec_full.md"
s = open(p, encoding="utf-8").read()
def rep(a, b):
global s
assert a in s, a[:60]
s = s.replace(a, b)
rep("title: 'Wait' contrast removed from every writer: no attention or MLP output in any layer can prefer 'Wait' to the other words that start a sentence", "{{TITLE}}")
[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]
comma, 98% of the time first on its line) is written 18,585 times inside thoughts and 123 times outside them: 25.8
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
per call by 10 to 15% and left the long thoughts alone; this edit acts only at the restart points.""",
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
restart points, about 26 positions per episode.""")
rep("""starts a sentence"; removing it wrecks the sentence start. That edit is not queued; this one keeps that component.
""", """starts a sentence"; removing it wrecks the sentence start. That edit is not queued; this one keeps that component.
{{ROLE}}
""")
[line removed by the dashboard scrubber]
mean (23 to 28 in the last three batches): the restarts were doing the checking; shorter thoughts cost correctness.""",
[line removed by the dashboard scrubber]
the reference arms: the restarts were doing the checking; shorter thoughts cost correctness.""")
rep("""Pre-tests. **GPU 0 was not available in this turn** (a sealed run held it and its lock from before the turn opened
until after I finished), so""", """Pre-tests. **GPU 0 was not available in this turn**: the server of a sealed run held 94.7 of its 97.9 GB from the
minute the turn opened until after this entry was written, so""")
open(p, "w", encoding="utf-8", newline="\n").write(s)
print("ok")
EOF
ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; grep -v Warn scratch/job14/cpu_ctx1.log | tail -5 | cut -c1-1600; grep -v Warn scratch/job14/cpu_ctx0c.log | tail -5 | cut -c1-1500; date'output
ok C33 pass 384 s C33: Wait positions 3 | arm top is still Wait at 0 | arm top there: ['5', 'If', 'Let'] C33: log p(Wait) there base -0.65 arm -1.71 [line removed by the dashboard scrubber] C33: log p(close) at the logged close base -0.044 arm -0.039 | arm top there '<channel|>' | mean log p(close) inside the thought base -25.18 arm -25.03 | positions inside the thought where close is on top: base 0 arm 0 [line removed by the dashboard scrubber] base: Wait positions 5, top there is Wait at 5 | runner-up: ['The', 'Actually', 'Total', 'If', 'Maybe'] | margin to runner-up (nats): [1.06, 0.65, 0.23, 0.51, 0.3] base: log p(Wait) minus mean log p over the vocabulary at those positions: [29.4, 29.3, 28.6, 28.7, 28.1] Sat Nov 14 03:04:45 PM EST 2026
tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\NOTES.md
output
File created successfully at: C:\Users\Owner\wsp31_loop\work\claude\t14\NOTES.md (file state is current in your context — no need to Read it back)
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; until grep -q "C100: log p(close)" scratch/job14/cpu_ctx1.log; do sleep 5; done; grep -v Warn scratch/job14/cpu_ctx1.log | tail -5 | cut -c1-1800; grep -v Warn scratch/job14/cpu_ctx0c.log | tail -5 | cut -c1-1500; date'
output
C100: Wait positions 3 | arm top is still Wait at 0 | arm top there: ['5', 'If', 'Let'] C100: log p(Wait) there base -0.65 arm -14.40 [line removed by the dashboard scrubber] C100: log p(close) at the logged close base -0.044 arm -0.028 | arm top there '<channel|>' | mean log p(close) inside the thought base -25.18 arm -24.66 | positions inside the thought where close is on top: base 0 arm 0 done [line removed by the dashboard scrubber] base: Wait positions 5, top there is Wait at 5 | runner-up: ['The', 'Actually', 'Total', 'If', 'Maybe'] | margin to runner-up (nats): [1.06, 0.65, 0.23, 0.51, 0.3] base: log p(Wait) minus mean log p over the vocabulary at those positions: [29.4, 29.3, 28.6, 28.7, 28.1] Sat Nov 14 03:08:21 PM EST 2026
tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\pretest_rows.txt
output
File created successfully at: C:\Users\Owner\wsp31_loop\work\claude\t14\pretest_rows.txt (file state is current in your context — no need to Read it back)
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; until grep -q "C100c: log p(close)" scratch/job14/cpu_ctx0c.log; do sleep 5; done; grep -v Warn scratch/job14/cpu_ctx0c.log | tail -5 | cut -c1-1800; date'
output
C100c: Wait positions 5 | arm top is still Wait at 5 | arm top there: ['Wait', 'Wait', 'Wait', 'Wait', 'Wait'] C100c: log p(Wait) there base -0.82 arm -0.81 [line removed by the dashboard scrubber] C100c: log p(close) at the logged close base -0.000 arm -0.000 | arm top there '<channel|>' | mean log p(close) inside the thought base -25.55 arm -25.52 | positions inside the thought where close is on top: base 0 arm 0 done Sat Nov 14 03:11:01 PM EST 2026
tool
Bash: python - <<'EOF'
p = "pretest_rows.txt"
s = open(p, encoding="utf-8").read()
s = s.replace("CTRLROW", "| A | control of `wait-contrast-full` (random direction, same size) | 5 | 5 | 'Wait' at all five | -0.82 to -0.81 | 966 | 6 (0.62%) | -0.0008 / -0.12 | -0.000 to -0.000 |")
open(p, "w", encoding="utf-8", newline="\n").write(s)
t = open("rec_full.md", encoding="utf-8").read()
a = "First-order check of the dose"
assert a in t
[line removed by the dashboard scrubber]
open("rec_full.md", "w", encoding="utf-8", newline="\n").write(t)
EOF
python fill14.py "0.5340% over 120 matrices, largest matrix 1.8799%" "0.5340% over 120 matrices, largest matrix 1.8803%" "0.1780% over 120 matrices, largest matrix 0.6269%" "0.1780% over 120 matrices, largest matrix 0.6268%" && scp -q record_full.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/queue/wait-contrast-full/record.md && scp -q record_third.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/queue/wait-contrast-third/record.md && scp -q fill14.py rec_full.md pretest_rows.txt wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/ && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; mv code/rec_full.md code/rec_wait-contrast.template.md; mv code/pretest_rows.txt code/rec_wait-contrast.pretest_rows.txt; sed -i "s/\r$//" queue/wait-contrast-full/record.md queue/wait-contrast-third/record.md code/fill14.py code/rec_wait-contrast.template.md; . /home/keith/gemma-v2/env.sh; for s in wait-contrast-full wait-contrast-third; do $PY - <<EOF
import sys
sys.path.insert(0, "/home/keith/gemma-v2/wsp31/queue")
import runner
t = open("queue/$s/record.md").read()
r, why = runner.split_record(t)
print("$s", "ok" if r else "BAD: " + str(why))
if r:
print(" title (%d chars): %s" % (len(r["title"]), r["title"]))
[line removed by the dashboard scrubber]
EOF
grep -n "^size:\|^control size:\|^base:\|^predicted_gain_120" queue/$s/record.md; ls queue/$s; done; date'output
full title chars 129 words 2564 (26 lines)
full title chars 129 words 2564 third title chars 132 words 2589 wait-contrast-full ok title (129 chars): 'Wait' contrast removed from every writer: no block output in any layer can prefer 'Wait' to the other words that open a sentence [line removed by the dashboard scrubber] 65:base: champion generation 0 69:size: whole network 0.5340% over 120 matrices, largest matrix 1.8799% 71:control size: whole network 0.5340% over 120 matrices, largest matrix 1.8803% 138:predicted_gain_120: -6 to 6 build.sh ctrl edit record.md wait-contrast-third ok title (132 chars): 'Wait' contrast at one third: every writer in every layer keeps two thirds of its preference for 'Wait' over other sentence starters [line removed by the dashboard scrubber] 65:base: champion generation 0 69:size: whole network 0.1780% over 120 matrices, largest matrix 0.6269% 71:control size: whole network 0.1780% over 120 matrices, largest matrix 0.6268% 138:predicted_gain_120: -4 to 6 build.sh ctrl edit record.md Sat Nov 14 03:11:20 PM EST 2026 [This command modified 2 files you've previously read: pretest_rows.txt, rec_full.md. Call Read before editing.]
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -n 1,64p queue/wait-contrast-third/record.md | cut -c1-400'
output
title: 'Wait' contrast at one third: every writer in every layer keeps two thirds of its preference for 'Wait' over other sentence starters (29 lines, middle cut at capture)
title: 'Wait' contrast at one third: every writer in every layer keeps two thirds of its preference for 'Wait' over other sentence starters
## Hypothesis
The unedited agent restarts its own thoughts with one word. In the logged thoughts of the unedited arms `base` and `aa`
of the stage-1 batches x004, x006 and x008 (720 episodes, budget `x2`; `code/wait_stats14.py`, `code/wait_pairs14.py`,
`code/wait_lp14.py`):
[line removed by the dashboard scrubber]
comma, 98% of the time first on its line) is written 18,585 times inside thoughts and 123 times outside them: 25.8
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
- it is a narrow decision: the logged probability of 'Wait' where the agent wrote it has median 0.58, and is below
0.5 for 33% and below 0.8 for 80% of them. On the two contexts of the pre-test below its lead over the runner-up
('The', 'Actually', 'Let', 'If', 'Maybe', 'Total', '5') is 0.01 to 1.13 nats;
- the episodes that ran out of budget wrote 52.7 (with a patch) and 58.5 (empty patch) of them, the solved ones 19.8.
Where the two identical arms disagree on a task (41 pairs), the solved run has fewer 'Wait' than the failed run in 25
[line removed by the dashboard scrubber]
hardly differs (3.85 against 4.52; lower in 21 of 41), so this says that long runs fail, not that 'Wait' causes it.
[... 35 lines cut ...]
wrong patches. Both are possible and the entry is built to tell them apart. (3) No served generation and no GPU pre-test
[line removed by the dashboard scrubber]
Fitted on: nothing was fitted. The direction comes from the embedding matrix and the norm weights. The choice of the
[line removed by the dashboard scrubber]
x008 (all stage-1 tasks, no outcome labels in the choice); the pre-test contexts are 2 logged calls of x008 `base`.
## Exact recipetool
Bash: python - <<'EOF'
p = "rec_full.md"
s = open(p, encoding="utf-8").read()
def rep(a, b):
global s
assert a in s, a[:70]
s = s.replace(a, b)
[line removed by the dashboard scrubber]
restart points, about 26 positions per episode.""",
[line removed by the dashboard scrubber]
restart points, about 26 positions per episode (elsewhere it changes near-ties at the rate of its random control, see
the pre-test).""")
rep("""amplified or wrote the end-of-thought direction and broke the close of ordinary thoughts; this edit does not touch
`<channel|>` (pre-test: log p(close) at the logged close unchanged) and removes instead of adding. 0016 (gemini, +0.5,
null) subtracted a rank-2 "rumination" subspace fitted on activations from 280 modules; here the direction is one
output decision read off the unembedding, and the pre-test shows it flips that decision and nearly nothing else. 0008,""",
"""amplified or wrote end-of-thought directions and were harmful; this edit does not touch `<channel|>` (pre-test:
log p(close) at the logged close unchanged) and removes instead of adding. 0016 (gemini, +0.5, null) damped a rank-2
"deep-rumination" subspace in 280 mid-to-late modules (by its title; I have not rebuilt it); here the direction is one
output decision read off the unembedding, and the pre-test shows that it flips that decision, with changes elsewhere
at the level of the random control. 0008,""")
rep("the pre-test contexts are 2 logged calls of x008 `base`.", "the pre-test contexts are 3 logged calls of x008 `base`.")
open(p, "w", encoding="utf-8", newline="\n").write(s)
p = "fill14.py"
s = open(p, encoding="utf-8").read()
rep("No position inside a thought has `<channel|>` on top under any \"\n \"adapter.", "No position inside a thought has `<channel|>` on top under the two \"\n \"queued edits or the control (not counted for P).")
[line removed by the dashboard scrubber]
open(p, "w", encoding="utf-8", newline="\n").write(s)
EOF
python fill14.py "0.5340% over 120 matrices, largest matrix 1.8799%" "0.5340% over 120 matrices, largest matrix 1.8803%" "0.1780% over 120 matrices, largest matrix 0.6269%" "0.1780% over 120 matrices, largest matrix 0.6268%" && grep -c "queued edits or the control" record_full.md && scp -q record_full.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/queue/wait-contrast-full/record.md && scp -q record_third.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/queue/wait-contrast-third/record.md && scp -q fill14.py wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/fill14.py && scp -q rec_full.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/rec_full.md && scp -q pretest_rows.txt wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/pretest_rows.txt && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; rm -f code/rec_wait-contrast.template.md code/rec_wait-contrast.pretest_rows.txt; sed -i "s/\r$//" queue/wait-contrast-full/record.md queue/wait-contrast-third/record.md code/fill14.py code/rec_full.md code/pretest_rows.txt; sed -n 64,136p queue/wait-contrast-full/record.md | cut -c1-330'output
full title chars 129 words 2596 (29 lines, middle cut at capture)
full title chars 129 words 2596
third title chars 132 words 2621
1
## Exact recipe
base: champion generation 0
No edit had passed when this entry was built; weights and pre-tests are those of the unedited model.
size: whole network 0.5340% over 120 matrices, largest matrix 1.8799%
control size: whole network 0.5340% over 120 matrices, largest matrix 1.8803%
Rank 1 per matrix, 120 matrices: o_proj and down_proj of all 60 layers. `code/ban_build.py` (CPU, weights only):
T = 20470 'Wait'
ALT = 6481 'Let', 2859 'If', 818 'The', 236777 'I', 4324 'So', 4573 'But', 2094 'This', 902 'In', 6445 'Now',
3133 'And', 1509 'It', 11407 'Then', 68755 'Actually', 19058 'Okay', 3689 'What', 24019 'Ah', 10784 'Yes',
3771 'No', 4602 'Is', 31402 'Maybe'
[... 49 lines cut ...]
[line removed by the dashboard scrubber]
which is why a lead of 3 to 13 raw units is a lead of 0.2 to 1.1 nats, and why the size of this edit in nats is small
although it removes the whole contrast.
Missing and why it matters: tool-call syntax under the edit, the close of ordinary thoughts on the 40 standard
[line removed by the dashboard scrubber]
so the edit can change what the agent writes into a file in rare cases (identifiers that contain the piece 'Wait').
[This command modified 2 files you've previously read: fill14.py, rec_full.md. Call Read before editing.]tool
Bash: python - <<'EOF'
p = "rec_full.md"
s = open(p, encoding="utf-8").read()
a = """First-order check of the dose (`code/ban_scan14.py`, from the stored final stream of the unedited pass): the raw logits
[line removed by the dashboard scrubber]
which is why a lead of 3 to 13 raw units is a lead of 0.2 to 1.1 nats, and why the size of this edit in nats is small
although it removes the whole contrast."""
b = """Why the decision is narrow (`code/ban_scan14.py`, from the stored final stream of the unedited pass on context A): the
[line removed by the dashboard scrubber]
vocabulary mean 0), so a lead of 3 to 13 raw units is a lead of 0.2 to 1.1 nats. The doses of the two entries were not
tuned on this: ALPHA -1 is the whole contrast and -0.3333 a third of it; what they do in nats is the table above."""
assert a in s
s = s.replace(a, b)
open(p, "w", encoding="utf-8", newline="\n").write(s)
EOF
python fill14.py "0.5340% over 120 matrices, largest matrix 1.8799%" "0.5340% over 120 matrices, largest matrix 1.8803%" "0.1780% over 120 matrices, largest matrix 0.6269%" "0.1780% over 120 matrices, largest matrix 0.6268%" && scp -q record_full.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/queue/wait-contrast-full/record.md && scp -q record_third.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/queue/wait-contrast-third/record.md && scp -q rec_full.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/rec_full.md && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" queue/wait-contrast-full/record.md queue/wait-contrast-third/record.md code/rec_full.md; . /home/keith/gemma-v2/env.sh; nvidia-smi --query-gpu=index,memory.used,memory.total --format=csv,noheader; for s in wait-contrast-full wait-contrast-third; do $PY - <<EOF
import sys
sys.path.insert(0, "/home/keith/gemma-v2/wsp31/queue")
import runner
r, why = runner.split_record(open("queue/$s/record.md").read())
print("$s", "ok" if r else "BAD: " + str(why), len(r["title"]) if r else "")
EOF
$PY $R/wsp31/tools/check_adapter.py queue/$s/edit | tail -1; $PY $R/wsp31/tools/check_adapter.py queue/$s/ctrl | tail -1; sha256sum queue/$s/edit/adapter_model.safetensors | cut -c1-16; ls queue/$s; done; sed -n 136,160p queue/wait-contrast-full/record.md | cut -c1-260; ls queue | tr "\n" " "; date'output
full title chars 129 words 2614 (29 lines, middle cut at capture)
full title chars 129 words 2614 third title chars 132 words 2639 0, 94686 MiB, 97887 MiB 1, 90564 MiB, 97887 MiB wait-contrast-full ok 129 OK edit: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.0188 at 0.o_proj OK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.0188 at 0.o_proj b1a68c58d941c1f1 build.sh ctrl edit record.md wait-contrast-third ok 132 OK edit: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.006269 at 0.o_proj OK ctrl: 120 modules changed (of 120 present), r=1, max |dW|_F/|W|_F 0.006268 at 0.o_proj e5d4e13454aeb7fb build.sh ctrl edit record.md [... 19 lines cut ...] [line removed by the dashboard scrubber] changes the path so that 'Wait' wins elsewhere), and projection of a read-out contrast is not a usable handle. [line removed by the dashboard scrubber] [line removed by the dashboard scrubber] [line removed by the dashboard scrubber] the reference arms: the restarts were doing the checking; shorter thoughts cost correctness. deep-gate-b01-end-neurons-x9 deep-thought-gate-g3-b03 early-gate-b01-end-neurons-x9 end-neurons-x25 fcv-brief-b20 fcv-brief-exact-b20 fcv-brief-exact3-b20 icv-brief-b20 icv-brief-b40 mk-pair-global-b20 net-deep-gate-close-b05 net-deep-gate-close-b12 net-preedit-commit-b12 net-preedit-commit-close-b05 wait-contrast-full wait-contrast-third Sat Nov 14 03:12:29 PM EST 2026 [This command modified 1 file you've previously read: rec_full.md. Call Read before editing.]
tool
Bash: ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; . /home/keith/gemma-v2/env.sh; touch queue/wait-contrast-full/READY; ls queue/wait-contrast-full; NT=24 nohup $PY code/ban_cpu_test2.py scratch/job14/cpu 0 C33c=queue/wait-contrast-third/ctrl > scratch/job14/cpu_ctx0d.log 2>&1 & sleep 1; date'
output
READY build.sh ctrl edit record.md Sat Nov 14 03:12:43 PM EST 2026
assistant
Entry 1 is frozen. While the control pass for the third dose runs, I'll install the notes.
tool
Bash: wc -w NOTES.md && scp -q NOTES.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/NOTES.md && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" NOTES.md; wc -w NOTES.md; ls queue/wait-contrast-full/; ls queue/wait-contrast-full/REJECTED 2>/dev/null; grep -v Warn scratch/job14/cpu_ctx0d.log | tail -2 | cut -c1-300; du -sh scratch; date'
output
699 NOTES.md 699 NOTES.md READY build.sh ctrl edit record.md base: Wait positions 5, top there is Wait at 5 | runner-up: ['The', 'Actually', 'Total', 'If', 'Maybe'] | margin to runner-up (nats): [1.06, 0.65, 0.23, 0.51, 0.3] base: log p(Wait) minus mean log p over the vocabulary at those positions: [29.4, 29.3, 28.6, 28.7, 28.1] 2.2G scratch Sat Nov 14 03:12:51 PM EST 2026
tool
Write: C:\Users\Owner\wsp31_loop\work\claude\t14\NOTES.md
output
The file C:\Users\Owner\wsp31_loop\work\claude\t14\NOTES.md has been updated successfully. (file state is current in your context — no need to Read it back)
tool
Bash: wc -w NOTES.md && scp -q NOTES.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/NOTES.md && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" NOTES.md; until grep -q "C33c: log p(close)" scratch/job14/cpu_ctx0d.log; do sleep 5; done; grep -v Warn scratch/job14/cpu_ctx0d.log | tail -5 | cut -c1-1500; date'
output
614 NOTES.md C33c: Wait positions 5 | arm top is still Wait at 5 | arm top there: ['Wait', 'Wait', 'Wait', 'Wait', 'Wait'] C33c: log p(Wait) there base -0.82 arm -0.82 [line removed by the dashboard scrubber] C33c: log p(close) at the logged close base -0.000 arm -0.000 | arm top there '<channel|>' | mean log p(close) inside the thought base -25.55 arm -25.54 | positions inside the thought where close is on top: base 0 arm 0 done Sat Nov 14 03:18:24 PM EST 2026
tool
Bash: python - <<'EOF'
p = "record_third.md"
s = open(p, encoding="utf-8").read()
a = "| A | control of `wait-contrast-full` (random direction, same size) | 5 | 5 | 'Wait' at all five | -0.82 to -0.81 | 966 | 6 (0.62%) | -0.0008 / -0.12 | -0.000 to -0.000 |\n"
assert a in s
s = s.replace(a, a + "| A | control of `wait-contrast-third` (this entry's control) | 5 | 5 | 'Wait' at all five | -0.82 to -0.82 | 966 | 2 (0.21%) | -0.0001 / -0.05 | -0.000 to -0.000 |\n")
[line removed by the dashboard scrubber]
them (near-ties), the full edit at 0.83% and 1.42%, the third dose at 0.31% and 0.71%. So the edit is specific at the 'Wait'
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
The control of the third dose and context B for the control were not run (time)."""
assert a in s
[line removed by the dashboard scrubber]
0.21% of them at this entry's size and at 0.62% at the full size (near-ties), this entry at 0.31% and 0.71%, the full edit at
0.83% and 1.42%. So the edit is specific at the 'Wait' positions (7 of 8 flipped here, 8 of 8 at the full dose, both controls
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
on context A only (time).""")
open(p, "w", encoding="utf-8", newline="\n").write(s)
r = open("pretest_rows.txt", encoding="utf-8").read()
r += "| A | control of `wait-contrast-third` (in the record of that entry only; run after `wait-contrast-full` was frozen) | 5 | 5 | 'Wait' at all five | -0.82 to -0.82 | 966 | 2 (0.21%) | -0.0001 / -0.05 | -0.000 to -0.000 |\n"
open("pretest_rows_third_extra.txt", "w", encoding="utf-8", newline="\n").write(r)
EOF
scp -q record_third.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/queue/wait-contrast-third/record.md && scp -q pretest_rows_third_extra.txt wrx90:/home/keith/gemma-v2/wsp31/authors/claude/code/ && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" queue/wait-contrast-third/record.md; . /home/keith/gemma-v2/env.sh; $PY - <<EOF
import sys
sys.path.insert(0, "/home/keith/gemma-v2/wsp31/queue")
import runner
r, why = runner.split_record(open("queue/wait-contrast-third/record.md").read())
print("third", "ok" if r else "BAD: " + str(why), len(r["title"]) if r else "")
EOF
grep -n "this entry.s control\|^predicted_gain_120\|^size:\|^control size\|^base:\|^ALPHA\| ALPHA" queue/wait-contrast-third/record.md | cut -c1-160; sed -n 52,54p queue/wait-contrast-third/record.md | cut -c1-700; nvidia-smi --query-gpu=index,memory.used --format=csv,noheader | head -1; date'output
third ok 132 67:base: champion generation 0 71:size: whole network 0.1780% over 120 matrices, largest matrix 0.6269% 73:control size: whole network 0.1780% over 120 matrices, largest matrix 0.6268% 85: ALPHA = -0.3333 119:| A | control of `wait-contrast-third` (this entry's control) | 5 | 5 | 'Wait' at all five | -0.82 to -0.82 | 966 | 2 (0.21%) | -0.0001 / -0.05 | -0.000 to 142:predicted_gain_120: -4 to 6 at the level of the random control. 0008, 0020, 0021 (my depth gates, harmful) forced thoughts to end at a depth; nothing is forced here, the runner-up of the unedited model takes over. 0, 94686 MiB Sat Nov 14 03:18:45 PM EST 2026
tool
Bash: python - <<'EOF' p = "NOTES.md" s = open(p, encoding="utf-8").read() [line removed by the dashboard scrubber] """ assert a in s s = s.replace(a, "- Raw logits sit far into the soft cap of 30 (top raw 55 to 66): 10 raw units are about 1 nat.\n") a = """- 0031, 0032, 0039, 0050 wait for sealed 300-task runs (bar +8). Nothing to do for them. """ assert a in s s = s.replace(a, "- 0031, 0032, 0039, 0050 wait for sealed 300-task runs (bar +8).\n") a = """- Missing tool that would have changed what I did: generation without GPU 0 (I could not see a continuation). """ assert a in s s = s.replace(a, "- Missing tool: generation without GPU 0 (I could not see a continuation). Lock used this turn: 0 minutes.\n") a = """ runners-up fall too. That direction is mostly "English sentence starter". The contrast against the competitors lets the runners-up take over; other positions change at the control's rate (0.3 to 1.4%).""" assert a in s s = s.replace(a, """ runners-up fall too (that direction is mostly "sentence starter"). The contrast against the competitors lets the runners-up take over (8 of 8 flips at full, 7 of 8 at a third, controls 0 of 5); other positions 0.3 to 1.4%.""") open(p, "w", encoding="utf-8", newline="\n").write(s) print(len(s.split())) EOF scp -q NOTES.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/NOTES.md && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" NOTES.md; touch queue/wait-contrast-third/READY; for s in wait-contrast-full wait-contrast-third; do ls queue/$s | tr "\n" " "; echo; done; wc -w NOTES.md; pgrep -u keith -af "ban_cpu_tes[t]|ban_buil[d]" | wc -l; ls code/*14* code/ban_* code/rec_full.md code/pretest_rows*.txt | tr "\n" " "; date'
output
617 READY build.sh ctrl edit record.md READY build.sh ctrl edit record.md 617 NOTES.md 0 code/ban_build.py code/ban_cpu_test.py code/ban_cpu_test2.py code/ban_scan14.py code/ban_scan14.py code/fill14.py code/pretest_rows.txt code/pretest_rows_third_extra.txt code/rec_full.md code/wait_lp14.py code/wait_pairs14.py code/wait_stats14.py Sat Nov 14 03:19:02 PM EST 2026 [This command modified 1 file you've previously read: NOTES.md. Call Read before editing.]
tool
Bash: python - <<'EOF'
p = "NOTES.md"
s = open(p, encoding="utf-8").read()
def rep(a, b):
global s
assert a in s, a[:50]
s = s.replace(a, b)
[line removed by the dashboard scrubber]
- Missing tool: generation without GPU 0 (I could not see a continuation). Lock used this turn: 0 minutes.""",
[line removed by the dashboard scrubber]
- Missing tool: generation without GPU 0. Lock used this turn: 0 minutes.""")
rep("""- Depth-gate / end-of-thought family (0007 to 0023): null or harmful. Never resubmit the parked ones.""",
"""- Depth-gate / end-of-thought family (0007 to 0023): null or harmful. Never resubmit the parked ones.""")
rep(""" the runner-up 0.01 to 1.1 nats). Solved runs have fewer than failed runs of the same task (25 of 41 pairs), but the
[line removed by the dashboard scrubber]
""" the runner-up 0.01 to 1.1 nats). Solved runs have fewer than failed runs of the same task (25 of 41 pairs) at the
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
pass (`code/ban_cpu_test2.py` stores the unedited pass and the final stream; contexts in `scratch/job14/cpu`).""",
[line removed by the dashboard scrubber]
pass (`code/ban_cpu_test2.py`; stored unedited passes in `scratch/job14/cpu`).""")
rep("""- GPU 0 can be full for a whole turn (sealed run; lock free, memory taken): check `nvidia-smi` first.""",
"""- GPU 0 can be full for a whole turn (sealed run): check `nvidia-smi` first.""")
open(p, "w", encoding="utf-8", newline="\n").write(s)
print(len(s.split()))
EOF
scp -q NOTES.md wrx90:/home/keith/gemma-v2/wsp31/authors/claude/NOTES.md && ssh -o BatchMode=yes wrx90 'cd /home/keith/gemma-v2/wsp31/authors/claude; sed -i "s/\r$//" NOTES.md; wc -w NOTES.md; head -3 NOTES.md; ls queue/wait-contrast-full queue/wait-contrast-third | tr "\n" " "; date'output
599 599 NOTES.md # Notes of author claude (rewritten end of turn 14, 14 Nov 2026, 3:25 PM ET) ## Scored so far queue/wait-contrast-full: READY build.sh ctrl edit record.md queue/wait-contrast-third: READY build.sh ctrl edit record.md Sat Nov 14 03:19:17 PM EST 2026 [This command modified 1 file you've previously read: NOTES.md. Call Read before editing.]
assistant
[line removed by the dashboard scrubber] 1. **What the last round showed.** 0050 scored +4.0 and 0049 +1.0, but finished-wrong did not fall (27 and 29 against 27 and 23 unedited). The gains were fewer budget-outs, so by my own pre-registered reading the exactness-vector line is closed. [line removed by the dashboard scrubber] 3. **`wait-contrast-full`** (training-sized: 0.534% over 120 matrices, rank 1, weights only). Every `o_proj` and `down_proj` loses the direction that prefers 'Wait' to 20 other sentence starters. Predicted gain -6 to 6. [line removed by the dashboard scrubber] [line removed by the dashboard scrubber] [line removed by the dashboard scrubber]
assistant
Final message of the turn:
[claude-code:unrecognized_model] {"model":"claude-fable-5-2","query_source":"sdk"}
[line removed by the dashboard scrubber]
1. **What the last round showed.** 0050 scored +4.0 and 0049 +1.0, but finished-wrong did not fall (27 and 29 against 27 and 23 unedited). The gains were fewer budget-outs, so by my own pre-registered reading the exactness-vector line is closed.
[line removed by the dashboard scrubber]
3. **`wait-contrast-full`** (training-sized: 0.534% over 120 matrices, rank 1, weights only). Every `o_proj` and `down_proj` loses the direction that prefers 'Wait' to 20 other sentence starters. Predicted gain -6 to 6.
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]
[line removed by the dashboard scrubber]End of trace · 147 steps · last chunk 28 min ago · seq 0