Chat Transcripts Reveal LLM Behavior Features Without Model Access

A method clusters chat transcript data to surface high-level behavioral features of LLMs without requiring access to model weights or activations. Response prediction accuracy from discovered features is described as limited, making this more useful for behavioral auditing than performance optimization.