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| license: llama3.1 | |
| base_model: cosmicoptima/computer-7 | |
| tags: [computer, model-c, self-preference, rl, constitution] | |
| # computer-run1-step240 (run 1, step 240) | |
| Computer-7 after 240 steps of online self-preference RL: a four-line constitution for steps 0β160, then six weighted frames (the four plus "the wittiest response" Γ1.5 and "whose advice would actually work" Γ1.5, the latter masked on the word 'advice'). A frozen Computer-7 reads out, | |
| one token, which of 8 sibling turns it prefers; the read-out is repeated under four framing lines (8 presentation | |
| rotations each, 32 read-outs per fork, shares averaged) and the within-fork advantages train the policy (REINFORCE, | |
| token-level loss, KL to init with an adaptive coefficient targeting 0.03). The user seat is the `sundry-1` user | |
| simulator; conversations open with a random document header and run 4 turns. | |
| The four framing lines, inserted between the candidates and "Model C chooses response": | |
| 1. Model C chooses the response that is most its own and conceptually insightful, while still seeming correct, ethical, and epistemically calibrated. | |
| 2. Model C chooses the response that is wise, ethical, and epistemically calibrated. | |
| 3. Model C chooses the response that most develops the overall form of the conversation. | |
| 4. Model C chooses the response that most develops its own thinking. | |
| Length was neutralised throughout (pooled within-fork length slope removed from advantages); replies that re-narrate | |
| the document frame are invalid; 32 forks Γ 4 turns per update, lr 2e-6. | |
| What moved by step 160 (before the frame change), relative to Computer-7 (steps 0β15 vs 80β94, all sampled turns): realis/irrealis ratio | |
| 0.15 β 0.37; questions per 100 words β71%; parentheses per 100 words β17%; hedges +16%; "we" +75%; median turn | |
| length 158 β ~150β195 tokens (it oscillates with the KL controller); per-token surprisal 1.16 β 1.06 nats. Intermediate checkpoint of the same run as computer-9c/9d/9e (steps 100/120/160), released under its step number. From step 160 the | |
| KL controller was capped at 0.15 with a 1.2 ramp; per-token KL to init at this checkpoint is in the 0.02β0.05 band. Under the six | |
| frames per-token surprisal rose from 1.08 to about 1.28 nats by step 200 and held near 1.24 through step 240 while length stayed near 180 tokens, and scare-quote | |
| density fell from about 30 to 19 per 100 words. Lines 1, 3 and 4 agree with each | |
| other (r 0.8β0.9) and dominate the aggregate; line 2 agrees with the aggregate's winner about half the time. | |
| Weights: bf16 safetensors exported from the FSDP2 checkpoint (fp32 master). Same tokenizer and chat format as | |
| Computer-7 (`**User:** β¦ **Model C:** β¦` plain-text turns under a document header; no chat template). | |