Tracing the thoughts of a large language model. In a follow-up to the research that brought us the delightful Golden Gate Claude last year, Anthropic have published two new papers about LLM interpretability:
- Circuit Tracing: Revealing Computational Graphs in Language Models extends last year's interpretable features into attribution graphs, which can "trace the chain of intermediate steps that a model uses to transform a specific input prompt into an output response".
- On the Biology of a Large Language Model uses that methodology to investigate Claude 3.5 Haiku in a bunch of different ways. Multilingual Circuits for example shows that the same prompt in three different languages uses similar circuits for each one, hinting at an intriguing level of generalization.
To my own personal delight, neither of these papers are published as PDFs. They're both presented as glorious mobile friendly HTML pages with linkable sections and even some inline interactive diagrams. More of this please!
Recent articles
- Highlights from my appearance on the Data Renegades podcast with CL Kao and Dori Wilson - 26th November 2025
- Claude Opus 4.5, and why evaluating new LLMs is increasingly difficult - 24th November 2025
- sqlite-utils 4.0a1 has several (minor) backwards incompatible changes - 24th November 2025
