2 papers
cs.LG2026
What Does a Chemical Language Model Know About Molecules?
Christian Kenneth, Etowah Adams, Liam Bai +1
Chemical language models (cLMs) are widely assumed to learn surface-level syntactic patterns rather than learning meaningful molecular semantics. Here, we apply sparse autoencoders…
cs.LG2026
On the Relationship Between Activation Outliers and Feature Death in Sparse Autoencoders
Elana Simon, Etowah Adams, James Zou
Sparse autoencoders (SAEs) decompose neural network activations into interpretable features, but many learned features never activate, a problem called feature death that wastes di…