Anthropic finds many transcoder features copy single MLP neurons
Overview
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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elvis@omarsar0XAnthropic finds many transcoder features are copies of MLP neuronsAIAnthropic 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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