2023
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small
ICLR 2023poster
Research in mechanistic interpretability seeks to explain behaviors of ML models in terms of their internal components. However, most previous work either focuses on simple behaviors in small models, or describes complicated behaviors in larger models with broad strokes. In this work, we bridge this…