Goodfire cofounder's essay: neural nets are far more interpretable than we thought

burny_tech · x · 2026-10-16

Goodfire cofounder Nick Cammarata, co-author of Zoom In (the paper that introduced polysemanticity and superposition), revisits the model organisms of interpretability and modern LLMs up to trillions of parameters. His new essay argues the early field got it wrong: models are far more legible than the 'tangled knots' framing suggested — and there may be a bitter lesson for interpretability.

Related event: Ex-OpenAI researcher: neural networks are already clean, interpretability far more promising than thought(22 posts)→

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