Research
160d agoScaling Interaction Analysis in LLMs
The BAIR blog explores how to scale interaction analysis for large language models. By combining feature attribution, data attribution, and mechanistic interpretability, researchers can trace predictions back to input tokens, training examples, and internal modules.
The Signal
This multi‑lens approach reveals hidden biases and guides safer, more trustworthy AI deployments for developers.