arXiv cs.AIPaper
A Testable Theory of Atomic Features
The theory here matters: if representations genuinely decompose into atomic features, interpretability stops being a parlor trick and becomes engineering. The finding that features remain stable across 256x size increases means researchers can now move from "do SAEs work" to "how do we use them." If you're building on sparse interpretability or probing models, this is your new baseline.