Interpretability
Methods that explain what a model computes and why.
- Interpretable models
- Feature attribution
- Explainable AI methods
- Probing
- Mechanistic interpretability
- Circuits
- Superposition and features
- Sparse autoencoders and dictionaries
- Representation engineering and steering
- Concept-based explanations
- Interpretability evaluation
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