TSAE: Structured Sparse Autoencoders for Interpreting Time-Series Forecasting Models.

arXiv:2610.04925v1 Announce Type: cross Abstract: Time-series forecasting informs critical decisions in energy dispatch, industrial operations, and environmental monitoring; understanding the patterns models rely on is essential for assessing reliability and i