PULSE: Identifying Demonstration-Utility Features with Sparse Autoencoders.

arXiv:2609.32469v1 Announce Type: new Abstract: In-context learning is highly sensitive to demonstration choice, yet most methods select demonstrations using external query-demonstration similarity. Such criteria can miss model-specific signals: Similar demons