“You may need a bit of fine-tuning of your probes so that they work on each person's particular fine-tuned model”

Eric Bigelow · "The Cognitive Revolution" · How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning

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What was described

Fine-tune interpretability probes for each fine-tuned personal model rather than building entirely new tools

Said nearby on the same subject

“We asked inkling to fine tune itself using tinker. The model wrote its own fine tuning job, ran it and evaluated the result.”
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Why it worked Share this moment
“We trained for 90 steps, with three seeds for each fine-tuned character model, nine runs in total… using Impossible Bench… broken tests… model could only get the reward if it tampered with the tests.”
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Said on LessWrong (Curated & Popular)
How they work 90 steps, 3 seeds per character, 9 runs total, 103 tasks (206 variants… Share this moment
“We have a bunch of fine-tuned models ourselves too… making us more innovative… couldn’t do with the frontier models because of cost and efficiency reasons”
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Said on All-In with Chamath, Jason, Sacks & Friedberg
Why it worked Share this moment
“Fine-tuning LoRa, rank 16, on 2,000 rows per arm, one epoch… 50 answers to each of 16 held-out questions at temperature 1, giving 800 answers per run.”
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Said on LessWrong (Curated & Popular)
How they work 4 training seeds per arm, 50 answers per 16 held-out questions at temp… Share this moment

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