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Tom Henighan

Works on large language model interpretability at Anthropic; previously worked on scaling laws at OpenAI and ML engineering at Beehive AI, and completed a Ph.D. in physics at Stanford.

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Last reviewedApr 2, 2026

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updated 1 public sources

LLMInterpretabilityScaling Laws

Education

Stanford University Ph.D. · Physics

Work

Anthropic Role not listed

OpenAI Role not listed

Beehive AI Role not listed

Public links

website Personal homepage github GitHub profile google_scholar Google Scholar profile

Organizations

core OpenAI

Reports

Large Language Models Language Models are Few-Shot Learners

Official and primary sources

Tom Henighan Official source · homepage · tomhenighan.com

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