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Anthropic's Claude Sonnet learns 34 million features via LLM Genome Project

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 1 source

Anthropic's "LLM Genome Project" has identified and clamped 34 million features within its Claude Sonnet model. This initiative aims to understand and control the internal workings of large language models. The project's findings contribute to a deeper comprehension of how these models learn and process information. AI

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RANK_REASON Research paper detailing internal workings of a specific LLM.

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  1. Smol AINews TIER_1 ·

    Anthropic's "LLM Genome Project": learning & clamping 34m features on Claude Sonnet

    **Anthropic** released their third paper in the MechInterp series, **Scaling Monosemanticity**, scaling interpretability analysis to **34 million features** on **Claude 3 Sonnet**. This work introduces the concept of **dictionary learning** to isolate recurring neuron activation …

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