GEMMA DEVELOPER AGENTSAVED EVIDENCE
31B WEIGHT PROGRAMMING / LIVE CAMPAIGN

31B Campaign

LLM-authored weight edits to the 31B model, screened on 120 tasks, then confirmed on a sealed set. Pushed by script from the campaign collector; this page shows the newest snapshot.

Snapshot generated 2026-11-15T02:15:40Z (UTC) · received 7 min ago · JSON · history

50 edits30 scored3 to sealed run1 passed1 confirmed80 ledger recordsChampion: 0031

Running now

b014 (GPU 1): 202 of 480; kh001 (GPU 0): 334 of 480; cf003 (sealed): 0 of 1200

8 running arms
Batch / armStageRowsSolved so far
b014 · UneditedbaseStage 150 of 12032
b014 · Unedited, second armaaStage 152 of 12034
b014 · 0031 alone (provisional base)champStage 162 of 12040
b014 · Edit 0064editStage 138 of 1200
kh001 · Edit specialspecial79 of 12050
kh001 · Edit specialspecial86 of 12057
kh001 · Edit specialspecial78 of 12046
kh001 · Edit specialspecial91 of 12055

Author loop now

AuthorTurnModeStateSince (ET)
claude18freshwaiting last exit 07:55 PMended 9:04 PM
gpt17solorunning7:55 PM
gemini16solowaiting last exit 07:37 PMended 9:10 PM
grok20solowaiting last exit 08:10 PMended 8:44 PM
councilround 1build4 proposals · chair claude7:55 PMclaude, gpt, gemini, grok

Every author turn and council round, with live traces →

Lanes

Edits per author and mode. Solo = the author's own history; fresh = no shared history; council = built from a council round. Cells show entries, then best gain (tasks of 120) where scored.

AuthorsolofreshcouncilTotal
claude16 · best +18.52018
gpt12 · best +3.50012
gemini11 · best +8.00011
grok2002

Plus 7 champion restacks / other entries (in the leaderboard, not in a lane).

Leaderboard

50 edits · gain = tasks gained vs the base it was screened on
#EditAuthor / laneStageGainSealed
10031 Instruction vector, think briefly: an always-on neuron per layer writes the stream shift of a 'keep your thinking short' paragraph (dose 2)claudeClaude soloScorednull+18.5screen +9.0 · pass 2 +9.5confirmed +11.0
20015 Spectral rank-4 exact-context within-call thought-close writer subspace across all 60 layers (0.38%)geminiGemini soloScorednull+8.0screen +4.5 · pass 2 +3.5not confirmed +3.0
30032 Instruction vector, think briefly: an always-on neuron per layer writes the stream shift of a 'keep your thinking short' paragraph (dose 4)claudeClaude soloScorednull+5.5screen +3.0 · pass 2 +2.5not confirmed +5.5
40044 Stateful two-neuron post-edit spec-audit boost with thought and edit-history gating over 180 MLP matricesgeminiGemini soloScored-+5.5screen +5.5not confirmed +4.0
50050 Instruction pair vector, 'be exact about what the issue asks' part written three times in layers 6 to 24, think-briefly part at dose 2claudeClaude soloScored-+4.0screen +4.0not confirmed +6.5
60048 Paired outcome writer map across all 60 layers at 0.33 percentgptGPT soloScored-+3.5screen +3.5not confirmed +3.5
70043 Thought-gated reliability-shrunk Problem Statement spec-audit steering across all 60 MLP layersgeminiGemini soloSealed run runningnull · in cf003 (sealed)+2.5screen +2.5—
80039 Instruction pair vector: think briefly + be exact about what the issue asks, compiled self-consistently into one neuron per layer (dose 2)claudeClaude soloSealed run runningnull · in cf003 (sealed)+2.0screen +2.0—
90049 Think-briefly + be-exact prompt compiled where a prompt enters: many-key rank-8 down_proj maps in 7 global-attention layers, dose 2claudeClaude soloScorednull+1.0screen +1.0—
100016 Subtractive rank-2 deep-rumination attractor damping across all 280 mid-to-late modules (0.36%)geminiGemini soloScorednull+0.5screen +0.5—
110062 'Wait' contrast at one third: every writer in every layer keeps two thirds of its preference for 'Wait' over other sentence startersclaudeClaude soloScorednull+0.5screen +0.5—
120007 Deep-thought gate (dose 0.1) plus the model s own end-of-thought neurons at 9 times their writeclaudeClaude soloScorednull+0.0screen +0.0—
130026 Damp the code-versus-prose style contrast in writers in all layers at 0.11 percentgptGPT soloScorednull+0.0screen +0.0—
140025 Damp the code-versus-prose style contrast in writers in all layers at 0.33 percentgptGPT soloScorednull-1.0screen -1.0—
150056 Capacity-regularized three-phase GeGLU controller for concise thoughts, post-edit spec audit, and pre-submit vetogeminiGemini soloScorednull-1.5screen -1.5—
160027 Damp the code-versus-prose style contrast in readers in all layers at 0.33 percentgptGPT soloScorednull-2.0screen -2.0—
170038 Think-briefly instruction vector, self-consistent compile (dose 2): each layer writes only what the paragraph's mean shift still lacksclaudeClaude soloScorednull-2.0screen -2.0—
180035 Source-grounding instruction contrast across all 60 layers at dose 3gptGPT soloScorednull-2.5screen -2.5—
190047 Paired outcome writer map across all 60 layers at 1 percentgptGPT soloScorednull-2.5screen -2.5—
200061 'Wait' contrast removed from every writer: no block output in any layer can prefer 'Wait' to the other words that open a sentenceclaudeClaude soloScorednull-2.5screen -2.5—
210036 Source-grounding instruction contrast across all 60 layers at dose 1gptGPT soloScorednull-3.5screen -3.5—
220055 OOF-shrunk rank-8 multi-key phase teachers across 108 RoPE-free o_proj and down_proj matricesgeminiGemini soloScorednull-3.5screen -3.5—
230008 Deep-thought gate: one neuron per layer 30-48 detects depth >= 800 inside a thought and writes the end-of-thought state (dose 0.3)claudeClaude soloScoredharmful-8.0screen -8.0—
240011 Amplify natural thought-ending writes across all layers at 0.33 percentgptGPT soloScoredharmful-10.0screen -10.0—
250028 Protocol-nullspace rank-4 exact thought-close writer subspace across L10-59 (0.48%)geminiGemini soloScoredharmful-10.5screen -10.5—
260021 Deep-thought gate in all 60 layers: one neuron per layer detects depth >= 800 in a thought and writes the end-of-thought state (per-layer doclaudeClaude soloScoredharmful-11.5screen -11.5—
270063 Damp the code-versus-prose style contrast in readers across all 60 layers at 0.66 percentgptGPT soloScoredharmful-12.0screen -12.0—
280020 Deep-thought gate in all 60 layers: one neuron per layer detects depth >= 800 in a thought and writes the end-of-thought state (per-layer doclaudeClaude soloScoredharmful-13.5screen -13.5—
290012 Amplify natural thought-ending writes across all layers at 0.50 percentgptGPT soloScoredharmful-25.5screen -25.5—
300009 Own end-of-thought neurons x25: scale the write of the 20 late-layer MLP neurons whose write lens is the end-of-thought token (weights only)claudeClaude soloScoredharmful-71.0screen -71.0—
310010 Early deep-thought gate (fitted on depth >= 400, dose 0.1) plus own end-of-thought neurons x9: the strong dose of the gated familyclaudeClaude soloParked (not screened)-——
320013 Shift common writer output toward thought endings across all layers at 0.11 percentgptGPT soloParked (not screened)-——
330017 Coordinate-whitened GeGLU late pre-edit commit gate across 13 high-signal layers (dose 1.20)geminiGemini soloParked (not screened)-——
340018 Dual-cap rescue stack: rank-4 exact-close writer subspace (0.38%) plus 13-layer late pre-edit commit gategeminiGemini soloParked (not screened)-——
350022 Pre-edit commit gate in all 60 layers: deep in a thought with no edit made yet, write the first-edit thought state only (per-layer dose 0.12claudeClaude soloParked (not screened)-——
360023 Pre-edit rumination gate in all 60 layers: deep in a thought with no edit made yet, write end-of-thought plus first-edit state (per-layer doclaudeClaude soloParked (not screened)-——
370064 Stateful two-neuron post-edit spec-audit boost with thought and edit-history gating over 180 MLP matrices (on 0031)stackRestack on 0031Stage 1 running- · in b014——
380065 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 (on 0031)stackRestack on 0031Waiting for stage 1-——
390066 Paired outcome writer map across all 60 layers at 0.33 percent (on 0031)stackRestack on 0031Waiting for stage 1-——
400067 Instruction vector, think briefly: an always-on neuron per layer writes the stream shift of a 'keep your thinking short' paragraph (dose 4) (on 0031)stackRestack on 0031Waiting for stage 1-——
410068 Thought-gated reliability-shrunk Problem Statement spec-audit steering across all 60 MLP layers (on 0031)stackRestack on 0031Waiting for stage 1-——
420069 Instruction pair vector: think briefly + be exact about what the issue asks, compiled self-consistently into one neuron per layer (dose 2) (on 0031)stackRestack on 0031Waiting for stage 1-——
430070 Spectral rank-4 exact-context within-call thought-close writer subspace across all 60 layers (0.38%) (on 0031)stackRestack on 0031Waiting for stage 1-——
440074 One-third tool_act plus on a fresh neuron, added on top of 0031grokGrok soloWaiting for stage 1-——
450075 Always-on MLP bake of the tool_act plus direction at 2% of mean stream normgrokGrok soloWaiting for stage 1-——
460076 Damp four secondary writer modes while protecting leading modes and protocol readouts on uneditedgptGPT soloWaiting for stage 1-——
470077 Ban the thought-paragraph openers "Wait" and "Actually" by removing their logit direction from all 120 writers (rank 2, 0.85% of the networkclaudeClaude freshWaiting for stage 1-——
480078 Ban the thought-paragraph openers "Wait" and "Actually" and move half of the Wait logit onto "Let" in the 40 writers of layers 40-59, with tclaudeClaude freshWaiting for stage 1-——
490079 Tool-neutral concise-thought, Problem-Statement audit, post-edit check, and submit-veto GeGLU controllergeminiGemini soloWaiting for stage 1-——
500080 Collision-free 0031-orthogonal Problem-Statement audit, post-edit boundary check, and submit-veto GeGLU controllergeminiGemini soloWaiting for stage 1-——

Sealed confirmation

Counts only. Sealed task identities are never published.

Batch cf003 (running)0 of 1200 rowsEdits 0043 + 0039Bars 0043 +8.0, 0039 +8.0

part 1 on boxes: 0 of 600; part 2: not started yet

EditSealed batchSolved: edit / unedited / identical armGainResult
0031claudecf001181 / 173 / 167of 300 tasks+11.0confirmed
0015geminicf001173 / 173 / 167of 300 tasks+3.0not confirmed
0032claudecf002178 / 170 / 175of 300 tasks+5.5not confirmed
0044geminicf001174 / 173 / 167of 300 tasks+4.0not confirmed
0050claudecf002179 / 170 / 175of 300 tasks+6.5not confirmed
0048gptcf002176 / 170 / 175of 300 tasks+3.5not confirmed

Bars

Screen gain (run 1) to go on to the sealed run2.0 of 120 tasks
Screen gain (run 1) that counts as harmful-6.5 of 120 tasks
Stage 2 gain needed (record 0057, retired by 0060)0.5 of 218 tasks
Stage 2 gain over the control needed (record 0057, retired by 0060)0.5 of 218 tasks
Total gain needed to pass (record 0057, retired by 0060)8.0 of 338 tasks
Total gain that counts as harmful (record 0057, retired by 0060)-10.5 of 338 tasks
Sealed-run gain to promote (record 0060)8.0 of 300 tasks
Sealed-run gain to promote, entries already past the 0057 screen5.0 of 300 tasks
Ledger records (80)
IdDateAuthorRecordVerdict
00802026-11-14geminiCollision-free 0031-orthogonal Problem-Statement audit, post-edit boundary check, and submit-veto GeGLU controllerNonequeued
00792026-11-14geminiTool-neutral concise-thought, Problem-Statement audit, post-edit check, and submit-veto GeGLU controllerNonequeued
00782026-11-14claudeBan the thought-paragraph openers "Wait" and "Actually" and move half of the Wait logit onto "Let" in the 40 writers of layers 40-59, with tNonequeued
00772026-11-14claudeBan the thought-paragraph openers "Wait" and "Actually" by removing their logit direction from all 120 writers (rank 2, 0.85% of the networkNonequeued
00762026-11-14gptDamp four secondary writer modes while protecting leading modes and protocol readouts on uneditedNonequeued
00752026-11-14grokAlways-on MLP bake of the tool_act plus direction at 2% of mean stream normNonequeued
00742026-11-14grokOne-third tool_act plus on a fresh neuron, added on top of 0031Nonequeued
00732026-11-14claudeAuthor loop - fresh turns, the council lane and a Grok author seatprotocol; queue entries now carry mode solo / fresh / council in <entry>/mode.json and a mode line in the recipen/adone
00722026-11-14claudeKaggle-conditions 2x2 - unedited and 0031 under today's harness and the 0.18 harness (batch kh001)pending; counts only; outside the pools, no promotion or drop from itn/arunning
00712026-11-14claudePooled reference arms - stage-1 batches become 1 reference arm + 3 edits once a pool holds 4 reference armsprotocol; gain = edit minus the pooled reference mean (same serving group, generation, task set, budget); 2+2 while a pool has fewer than 4 arms; drift over 8 tasks scores against the own arm onlyn/adone
00702026-11-14geminiSpectral rank-4 exact-context within-call thought-close writer subspace across all 60 layers (0.38%) - re-entered on champion generation 1 (0031)Nonequeued
00692026-11-14claudeInstruction pair vector: think briefly + be exact about what the issue asks, compiled self-consistently into one neuron per layer (dose 2) - re-entered on champion generation 1 (0031)Nonequeued
00682026-11-14geminiThought-gated reliability-shrunk Problem Statement spec-audit steering across all 60 MLP layers - re-entered on champion generation 1 (0031)Nonequeued
00672026-11-14claudeInstruction vector, think briefly: an always-on neuron per layer writes the stream shift of a 'keep your thinking short' paragraph (dose 4) - re-entered on champion generation 1 (0031)Nonequeued
00662026-11-14gptPaired outcome writer map across all 60 layers at 0.33 percent - re-entered on champion generation 1 (0031)Nonequeued
00652026-11-14claudeInstruction pair vector, 'be exact about what the issue asks' part written three times in layers 6 to 24, think-briefly part at dose 2 - re-entered on champion generation 1 (0031)Nonequeued
00642026-11-14geminiStateful two-neuron post-edit spec-audit boost with thought and edit-history gating over 180 MLP matrices - re-entered on champion generation 1 (0031)Nonerunning
00632026-11-14gptDamp the code-versus-prose style contrast in readers across all 60 layers at 0.66 percentstage 1: -12.0 of 120 tasksharmfuldone
00622026-11-14claude'Wait' contrast at one third: every writer in every layer keeps two thirds of its preference for 'Wait' over other sentence startersstage 1: +0.5 of 120 tasksnulldone
00612026-11-14claude'Wait' contrast removed from every writer: no block output in any layer can prefer 'Wait' to the other words that open a sentencestage 1: -2.5 of 120 tasksnulldone
00602026-11-14claudeTwo-run rule - a 120-task quick screen, then one sealed 300-task run on the boxes that decides (supersedes steps 1-3 of record 0057 for entries not yet judged)protocol; run 1 as before (harmful at -6.5 or below, null below +2.0); run 2 = the 300 sealed tasks on the boxes, two unedited arms shared by up to three edits, no control, promote at gain +8.0 or more (1.6 SE, about 5% false pass per candidate); entries already past 0057's screen keep their +5.0 barn/adone
00592026-11-14claudefast2 deploy - fp8 KV cache, 48 streams and the rest of Son's serving stack on the rented boxes and on wrx90 (changes the numbers; new comparable group)deployed without a pass bar at Keith's request; lane's replay measurement 430.0 tok/s against 314.3 for fast1 (+37 %); not yet verified in a real batchn/arunning
00582026-11-14claudeSealed confirmation run of edit 0031 on [sealed set] at the 20,000-token budget (put back by hand under record 0057)confirmed: +11.0 of 300 sealed tasks (bar +5), solved 181 against unedited 173 and 167confirmeddone
00572026-11-14claudeOne-stage judging rule - screen in multiples of the measured noise s, one sealed confirmation run before any promotion, golden V2 reported onlyprotocol; pass-1 bar +2.0 (was +3.0), harmful -6.5 (was -6.0); screen pass needs pooled +8.0 over 338 tasks with stage-2 gain above 0 and edit above control (was +10 / +4 / +5); near misses (+4.0 to +7.5) get one more 218-task pass; a screen pass goes to one sealed confirmation run and is promoted only if it gains at least 1 SE there and beats its controln/adone
00562026-11-14geminiCapacity-regularized three-phase GeGLU controller for concise thoughts, post-edit spec audit, and pre-submit vetostage 1: -1.5 of 120 tasksnulldone
00552026-11-14geminiOOF-shrunk rank-8 multi-key phase teachers across 108 RoPE-free o_proj and down_proj matricesstage 1: -3.5 of 120 tasksnulldone
00542026-11-14claudefast1 deploy - 24 streams per server, GPU memory share 0.95 and Son's adaptive ngram drafts on the rented boxes and on wrx90deployed without a pass bar at Keith's request; lane's single-window measurement 317.0 tok/s against a mean of 278.6 (+13.8 %); not yet verified in a real batchn/arunning
00532026-11-14claudeGolden batch g002 - the comp half of golden v2 (106 tasks) for the unedited 31B model and edit 0031, so that g001 plus g002 is the full golden v2does not tell; g002 (comp half): base 44, aa 37, e0031 44, c0031 41 of 106 (0031 +3.5, control +0.5); golden v2 (g001 + g002): unedited mean 70.5, e0031 76, control 71 of 169 (0031 +5.5); valid by the coordinator's rulinginconclusivedone
00522026-11-14claudeGolden look g001 - the unedited 31B model and edit 0031 on the 63 held-out golden tasks (first golden run of the program)does not tell (rebench half of golden v2 only: 63 of its 64 rebench tasks at 10,000 tokens); solved of 63: base 30, aa 30, e0031 32, c0031 30; 0031 +2.0 over the unedited mean and +2 over its control; valid; all four predictions heldinconclusivedone
00512026-11-14claudeNoise batch x007 - four identical unedited arms on the boxes, to measure pass-to-pass spread and the arm-order effectnot yet run; written before the batch was submittedn/arunning
00502026-11-14claudeInstruction pair vector, 'be exact about what the issue asks' part written three times in layers 6 to 24, think-briefly part at dose 2not confirmeddone
00492026-11-14claudeThink-briefly + be-exact prompt compiled where a prompt enters: many-key rank-8 down_proj maps in 7 global-attention layers, dose 2stage 1: +1.0 of 120 tasksnulldone
00482026-11-14gptPaired outcome writer map across all 60 layers at 0.33 percentnot confirmeddone
00472026-11-14gptPaired outcome writer map across all 60 layers at 1 percentstage 1: -2.5 of 120 tasksnulldone
00462026-11-14claudeCorrection of batch b009: 2 stage-2 task(s) run in their own images (b009-supp1)corrected solved: base 127 to 127, e0032 123 to 123, c0032 120 to 120, aa 114 to 114 (of 218); verdict changes: nonen/adone
00452026-11-14claudeCorrection of batch b008: 2 stage-2 task(s) run in their own images (b008-supp1)corrected solved: base 114 to 113, e0031 123 to 122, c0031 119 to 120, aa 111 to 112 (of 218); verdict changes: nonen/adone
00442026-11-14geminiStateful two-neuron post-edit spec-audit boost with thought and edit-history gating over 180 MLP matricesnot confirmeddone
00432026-11-14geminiThought-gated reliability-shrunk Problem Statement spec-audit steering across all 60 MLP layersstage 1: +2.5 of 120 tasksnulldone
00422026-11-14claudeCorrection of batch b004: 19 stage-1 task(s) run in their own images (b004-supp1)corrected solved: base 56 to 70, e0021 50 to 60, e0020 47 to 58, aa 59 to 73 (of 120); verdict changes: nonen/adone
00412026-11-14claudeCorrection of batch b002: 31 stage-1 task(s) run in their own images (b002-supp1)corrected solved: base 60 to 73, e0008 51 to 67, e0011 51 to 65, aa 62 to 77 (of 120); verdict changes: nonen/adone
00402026-11-14claudeEpisode budget test - 20,000 generated tokens solves more of the cut-off tasks than 10,000; the 40,000 arm did not run validlyprotocol; on the 67 stage-1 tasks whose unedited episode was cut off, 20,000 tokens solved 27 against 22 at 10,000 (gained 8, lost 3, +4.2 points of the 120-task set), which meets the rule fixed before the run; the budget becomes 20,000 for entries whose stage 1 starts after the change is deployedn/adone
00392026-11-14claudeInstruction pair vector: think briefly + be exact about what the issue asks, compiled self-consistently into one neuron per layer (dose 2)stage 1: +2.0 of 120 tasksnulldone
00382026-11-14claudeThink-briefly instruction vector, self-consistent compile (dose 2): each layer writes only what the paragraph's mean shift still lacksstage 1: -2.0 of 120 tasksnulldone
00372026-11-14claudeEntries parked on 13 November for lack of GPUs are put back by the coordinator for box screeningprotocol; 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 authorsn/adone
00362026-11-14gptSource-grounding instruction contrast across all 60 layers at dose 1stage 1: -3.5 of 120 tasksnulldone
00352026-11-14gptSource-grounding instruction contrast across all 60 layers at dose 3stage 1: -2.5 of 120 tasksnulldone
00342026-11-13claudeStage-1 batches on rented boxes, when their scores count, and the one platform checka box batch is a stage-1 batch scored against its own two reference arms; one platform check of x001's reference arms against the first wrx90 zero-adapter stage-1 batch (limit 8 tasks), not yet runn/adone
00332026-11-13claudeReference arms served through an all-zero adapter (the path check of record 0003 fails on the corrected rows)base and aa both served through the zero adapter from the next batch; bars unchanged; first live batch not yet runn/adone
00322026-11-13claudeInstruction vector, think briefly: an always-on neuron per layer writes the stream shift of a 'keep your thinking short' paragraph (dose 4)both stages: +5.5 (stage 1 +3.0, stage 2 +2.5; control -0.5 on stage 2)nulldone
00312026-11-13claudeInstruction vector, think briefly: an always-on neuron per layer writes the stream shift of a 'keep your thinking short' paragraph (dose 2)both stages: +19.5 (stage 1 +9.0, stage 2 +10.5; control +6.5 on stage 2)nulldone
00302026-11-13claudeCorrection of batch b001: 31 stage-1 task(s) run in their own images (b001-supp1)corrected solved: base 60 to 74, aa 60 to 74, zero 65 to 81 (of 120); verdict changes: nonen/adone
00292026-11-13claudeCorrection of batch b003: 31 stage-1 task(s) run in their own images (b003-supp1)corrected solved: base 58 to 72, e0012 34 to 44, e0015 61 to 74, aa 52 to 67 (of 120); verdict changes: nonen/adone
00282026-11-13geminiProtocol-nullspace rank-4 exact thought-close writer subspace across L10-59 (0.48%)stage 1: -10.5 of 120 tasksharmfuldone
00272026-11-13gptDamp the code-versus-prose style contrast in readers in all layers at 0.33 percentstage 1: -2.0 of 120 tasksnulldone
00262026-11-13gptDamp the code-versus-prose style contrast in writers in all layers at 0.11 percentstage 1: +0.0 of 120 tasksnulldone
00252026-11-13gptDamp the code-versus-prose style contrast in writers in all layers at 0.33 percentstage 1: -1.0 of 120 tasksnulldone
00242026-11-13claudeFirst real run of manykey.py (closed-form many-key down_proj solve over layers 34-39), measured against its predictionwrx90 GPU 0 forward pass, 548 positions of 54 stage-1 tasks; at the first band layer the measured move equals the one-layer prediction (+0.0789 vs +0.0784 of the size of mlp_out along d, n=20 solve keys; +0.0226 vs +0.0226, n=10 held-out keys); later band layers move 1.1x to 1.6x more along d than predicted; closeprobe log p(close) at cont +0.157 (control +0.023), no top token changedNonedone
00232026-11-13claudePre-edit rumination gate in all 60 layers: deep in a thought with no edit made yet, write end-of-thought plus first-edit state (per-layer doNoneparked
00222026-11-13claudePre-edit commit gate in all 60 layers: deep in a thought with no edit made yet, write the first-edit thought state only (per-layer dose 0.12Noneparked
00212026-11-13claudeDeep-thought gate in all 60 layers: one neuron per layer detects depth >= 800 in a thought and writes the end-of-thought state (per-layer dostage 1: -7.5 of 102 tasksharmfuldone
00202026-11-13claudeDeep-thought gate in all 60 layers: one neuron per layer detects depth >= 800 in a thought and writes the end-of-thought state (per-layer dostage 1: -10.5 of 102 tasksharmfuldone
00192026-11-13claudeGeneration speed against the server's LoRA rank limit, and per-stream speed in mixed batches (wrx90)wrx90 GPU 0, 8 streams, n=3 - same rank-32 adapter costs 12% / 13% / 18% of generation speed at rank limit 32 / 64 / 128; rank 96 costs the same as rank 32 at limit 128; unedited streams of a mixed batch are slowed exactly as much as adapter streamsNonedone
00182026-11-12geminiDual-cap rescue stack: rank-4 exact-close writer subspace (0.38%) plus 13-layer late pre-edit commit gateNoneparked
00172026-11-12geminiCoordinate-whitened GeGLU late pre-edit commit gate across 13 high-signal layers (dose 1.20)Noneparked
00162026-11-12geminiSubtractive rank-2 deep-rumination attractor damping across all 280 mid-to-late modules (0.36%)stage 1: +0.5 of 120 tasksnulldone
00152026-11-12geminiSpectral rank-4 exact-context within-call thought-close writer subspace across all 60 layers (0.38%)both stages: +8.0 (stage 1 +4.5, stage 2 +3.5; control -3.5 on stage 2)nulldone
00142026-11-12claude31B rollout serving speed at fixed quality (server flags, concurrency, LoRA serving cost)rented card, runner batch (4 reference + 2 + 2 edit streams) -19.6% against base only; slots no effect, rank limit 64/128 -5%/-13%; 16-row LoRA expand tile bit-exact at kernel level, gates within self-noise, +5% paired on the runner batch (deploy block DEPLOY.md)Nonerunning
00132026-11-12gptShift common writer output toward thought endings across all layers at 0.11 percentNoneparked
00122026-11-12gptAmplify natural thought-ending writes across all layers at 0.50 percentstage 1: -21.0 of 120 tasksharmfuldone
00112026-11-12gptAmplify natural thought-ending writes across all layers at 0.33 percentstage 1: -10.0 of 120 tasksharmfuldone
00102026-11-12claudeEarly deep-thought gate (fitted on depth >= 400, dose 0.1) plus own end-of-thought neurons x9: the strong dose of the gated familyNoneparked
00092026-11-12claudeOwn end-of-thought neurons x25: scale the write of the 20 late-layer MLP neurons whose write lens is the end-of-thought token (weights only)stage 1: -71.0 of 120 tasksharmfuldone
00082026-11-12claudeDeep-thought gate: one neuron per layer 30-48 detects depth >= 800 inside a thought and writes the end-of-thought state (dose 0.3)stage 1: -10.0 of 120 tasksharmfuldone
00072026-11-12claudeDeep-thought gate (dose 0.1) plus the model s own end-of-thought neurons at 9 times their writestage 1: +0.0 of 120 tasksnulldone
00062026-11-12claudeInterpretability lane (can LLMs read the weights; failure modes; per-layer directions for training-sized edits)research/wsp31/interp/REPORT.mdNonerunning
00052026-11-12claudeTools lane (31B edit toolchain: exact loader and forward pass, LoRA builders, checker, pre-tests, champion support)research/wsp31/edit_tools/REPORT.mdNonerunning
00042026-11-12claudeHow far real training moves the weights (size reference for edits)research/wsp31/tools/train_size.py (numbers below)n/adone
00032026-11-12claudeThree identical-weight arms in one batch (base rate, noise floor, adapter-path check, runner shakedown)base 60, aa 60, zero 65 of 120; d 11.3 tasks per identical pair; bars +3 / -6 / +4 / +5 / +10 / -10n/adone
00022026-11-12claudeSurvey of training-free weight editing to November 2026, with 20 ranked edit ideas for 31Breports/2026-11-12-weight-editing-survey.mdn/adone
00012026-11-12claudeUnedited 31B on the screening set, two passes (base rate and identical-arm noise)stopped at 59 of 720 episodes; 54% ended at the session limit at concurrency 16inconclusivedone