8th October 2023 - Link Blog
Decomposing Language Models Into Understandable Components. Anthropic appear to have made a major breakthrough with respect to the interpretability of Large Language Models:
“[...] we outline evidence that there are better units of analysis than individual neurons, and we have built machinery that lets us find these units in small transformer models. These units, called features, correspond to patterns (linear combinations) of neuron activations. This provides a path to breaking down complex neural networks into parts we can understand”
Recent articles
- Perhaps not Boring Technology after all - 9th March 2026
- Can coding agents relicense open source through a “clean room” implementation of code? - 5th March 2026
- Something is afoot in the land of Qwen - 4th March 2026