High-probability guarantees for linear accessibility in feature superposition.

arXiv:2609.09556v3 Announce Type: replace-cross Abstract: Neural networks can leverage feature superposition to encode more concepts than dimensions, but cross-feature interference constrains the linear accessibility of simultaneously active features. By frami