TLDR Tech / Dev
LLM-Driven Feature Discovery
LLM-driven feature discovery involves analyzing a dataset of chat transcripts to generate and cluster features related to model behavior. The method, which does not require access to model internals, identifies high-level features and predicts some aspects of the model's responses based on user input, although prediction accuracy is limited.
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