Crosscoder

A sparse dictionary-learning variant that jointly learns shared features across multiple layers or across two models (e.g. base vs fine-tuned), enabling feature-level diffing of what training changed.

grounded in: trend theme 'Interpretability rigor: Researchers are applying formal causal methods to actually explain LLM internals'; extends the existing SAE/transcoder cluster