The Utility of Interpretability — Emmanuel Amiesen
AI Summary
Emmanuel Amiesen, lead author of the paper “Circuit Tracing: Revealing Computational Graphs in Language Models,” discusses the utility of interpretability in AI. This episode, hosted by Vibhu Sapra, covers the open source tools for circuit tracing released by Anthropic and dives deeper into the paper’s findings and methodologies. Highlights include explorations of model behaviors, behind-the-scenes research insights, and discussions on the challenges of interpretability in AI models. Key concepts such as superposition, model planning, and issues related to faithfulness and open research are examined. Viewers are encouraged to explore demonstrated tools and visualizations.