The engineering challenges of scaling interpretability

This post details engineering challenges the Anthropic Interpretability team faced while scaling interpretability research—specifically implementing a multi-pass distributed shuffle to handle hundreds of terabytes of activations, and a sharded feature-visualization pipeline for finding high-activating tokens across millions of features—and explains how these infrastructure efforts enable larger experiments and hiring needs.