Interpretability
13 resources · page 1 of 1
Transformer Circuits Thread
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Transformer Circuits Thread: Anthropic interpretability research series reverse-engineering transformer models.
Neuronpedia
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Neuronpedia: open-source interpretability platform for exploring sparse autoencoder features and circuits.
SAELens
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SAELens GitHub repo: training and analysing sparse autoencoders on language models.
TransformerLens
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TransformerLens GitHub repo: library for mechanistic interpretability of GPT-style language models.
Transluce
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Transluce: nonprofit lab building open tools for AI oversight and interpretability.
Apollo Research: Science
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Apollo Research science page listing its research and pre-deployment evaluations on AI scheming and mitigations.
Interpretable Machine Learning
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Christoph Molnar's Interpretable Machine Learning book: free online guide to explainability methods and their limits.
How To Become A Mechanistic Interpretability Researcher
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Neel Nanda's AI Alignment Forum guide on how to become a mechanistic interpretability researcher, which replaced his earlier getting-started page.
Goodfire research
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Goodfire research page: interpretability research on understanding and editing the internals of AI models.
InterpretML
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InterpretML: open-source toolkit for glassbox models and explaining ML model behaviour.
Tracing the thoughts of a large language model
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Anthropic interpretability research tracing internal mechanisms of Claude with attribution graphs.
A Mathematical Framework for Transformer Circuits
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Anthropic Transformer Circuits paper A Mathematical Framework for Transformer Circuits (2021).
On the Biology of a Large Language Model
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Anthropic Transformer Circuits paper On the Biology of a Large Language Model: attribution graphs on Claude 3.5 Haiku.