2026
Circuit Insights: Towards Interpretability Beyond Activations
ICLR 2026poster
The fields of explainable AI and mechanistic interpretability aim to uncover the internal structure of neural networks, with circuit discovery as a central tool for understanding model computations. Existing approaches, however, rely on manual inspection and remain limited to toy tasks. Automated in…