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automated mechanistic interpretability
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Language models can explain neurons in language models
OpenAI uses GPT-4 to automatically generate and score natural-language explanations for the behavior of individual neurons in large language models. The methodology is applied to all neurons in GPT-2, producing a public dataset of explanations and quality scores. The authors acknowledge the explanations are imperfect, framing this as an early step toward automated mechanistic interpretability. This work establishes a scalable pipeline for neuron-level analysis that could inform future interpretability and safety research.