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    Neel Nanda

    Research Lead at Google DeepMind known for his work in mechanistic interpretability and understanding neural network internals.

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    Neel Nanda is an AI safety researcher who leads the mechanistic interpretability team at Google DeepMind and created the TransformerLens library.

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    Neel Nanda is an AI researcher known for mechanistic interpretability and for educating the interpretability community, work relevant to AI alignment.
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    Neel Nanda leads the mechanistic interpretability team at Google DeepMind and created TransformerLens and educational resources for newcomers to AI safety.
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    Neel Nanda leads DeepMind's mechanistic interpretability team, previously worked at Anthropic, and holds a mathematics degree from Cambridge.
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    Neel Nanda leads the mechanistic interpretability group at Google DeepMind and created the TransformerLens library.

    4 of 4 AI engines recognize them, measured 10 Oct 2026. Descriptions are generated by AI systems and can be wrong.

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