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Anthropic finds many transcoder features copy single MLP neurons

1 article1 sourcesince Oct 20Last article 1h ago ·

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Anthropic reports that many active transcoder features in late layers are close copies of single MLP neurons, across 13 open-source transcoders.

According to the authors, these neuron-aligned features are the only ones with a stable link to the underlying MLP. Other transcoder features vary more between training runs and do not match the MLP's Jacobian.

The authors argue that MLP neurons are a stronger starting point for interpretability than usually assumed. They say non-neuron transcoder features need better validation before they are used to explain model behavior.

Written by AI from the articles below · updated Oct 20, 3:30 PM ET

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Oct 20
  1. elvisX
    Anthropic finds many transcoder features are copies of MLP neurons

    AIAnthropic reports that many active transcoder features in late layers are close copies of single MLP neurons, measured across 13 open-source transcoders. The neuron-aligned features are the only ones with a stable link to the underlying MLP, while other features vary more between training runs and do not match the MLP's Jacobian. The authors argue MLP neurons are a stronger starting point for interpretability than usually assumed, and that non-neuron transcoder features need better validation before they are used to explain model behavior.

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