[HUMAN VOICE] "How useful is mechanistic interpretability?" by ryan_greenblatt, Neel Nanda, Buck, habryka

Neel Nanda, an expert in mechanistic interpretability, discusses the challenges and potential applications of mechanistic interpretability. They explore concrete projects, debunk the usefulness of mechanistic interpretability, and discuss the limitations in achieving interpretability in transformative models like GPT-4. They also delve into the concept of model safety and ablations, and discuss the potential of ruling out problematic behavior without fully understanding the model's internals. The speakers reflect on the dialogue and highlight its usefulness in advancing thinking about mechanistic interpretability.