Chris Olah

AI researcher known for pioneering neural network interpretability and visualization — creator of distill.pub (the most beautiful ML publications journal), Google Brain and later Anthropic researcher — whose work on features, circuits, and mechanistic interpretability is foundational to understanding what happens inside neural networks.

Founded mechanistic interpretability as a research program — Olah's work identifying individual neurons in neural networks as feature detectors, tracing circuits (sets of neurons that perform specific computations), and developing visualization tools gave the field its first systematic method for understanding neural network internals from the bottom up.