Anthropic's Chris Olah on the future vision of mechanistic interpretability

Anthropic interpretability researcher Chris Olah published "Interpretability Dreams," laying out the long-term goals of mechanistic interpretability—currently focused on solving the superposition problem and laying an epistemological foundation, with future hopes of extending to large-scale neural network analysis and research on universal feature circuits. The essay argues that if the superposition problem is solved, one can identify the correct features and circuits in models, then build higher-level abstract structures, analogous to organs in anatomy or brain regions in neuroscience; it also notes that many features and circuits are universal, transferring across models in different networks, so that insights from a single model can provide a foothold for future models.