ANTHROPIC’S NEXT STEP TOWARDS INTERPRETABILITY

Summary from the TLDR AI newsletter

Mechanistic interpretability is the process of understanding neural networks by breaking them down into more interpretable sub-pieces. Unfortunately, neurons tend to not be interpretable by themselves. There are a number of deep reasons like superposition that lead to this challenge. This work by Anthropic uses a sparse autoencoder to generate interpretable representations from a one-layer Transformer. It’s a big step forward in our understanding of these models.