
Understanding Mechanistic Interpretability in AI Models
Learn about mechanistic interpretability, named an MIT 2026 Breakthrough Technology. Covers circuit tracing, sparse autoencoders, attribution graphs, and how researchers are reverse-engineering AI models to uncover causal mechanisms within neural networks.