New preprint alert!
Do Sparse Autoencoders (SAEs) reveal all concepts a model relies on? Or do they impose hidden biases that shape what we can even detect?
We uncover a fundamental duality between SAE architectures and concepts they can recover.
Link: arxiv.org/abs/2503.01822
