Enhancing Automated Interpretability with Output-Centric Feature Descriptions

Yoav Gur-Arieh, Roy Mayan, Chen Agassy +2

Automated interpretability pipelines generate natural language descriptions for the concepts represented by features in large language models (LLMs), such as plants or the first wo…