arXiv cs.AIPaper
Beyond SAEs: Consistent Concept Discovery with Sparse Coding
SAEs are the leading interpretability method for foundation models, and consistency across training runs is a real problem when you're trying to trust your explanations. ConSDL is a concrete improvement on the mechanistic interpretability frontier. If you're building interpretability tooling or deploying models where explainability matters, this is worth integrating into your evaluation pipeline.