Readout Scaling Shapes Sparse Feature Recovery.

arXiv:2610.18462v2 Announce Type: replace-cross Abstract: Readout scaling changes what a sparse autoencoder (SAE) learns, but the benefit of removing it depends on the data. We use readout-canonicalized decision-space (RC-DS) coordinates to remove singular-val