Calibrating Lightweight Sparse Autoencoder Feature Steering.

arXiv:2506.12576v3 Announce Type: replace-cross Abstract: Sparse autoencoders (SAEs) can enable inference-time topic steering by modifying latent feature activations, but existing steering methods often fail when target-aligned features are not identified or a