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cs.LG2026
ScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection
Qingwen Zeng, Zehao Fu, Shuyu Meng +5
Sparse autoencoders (SAEs) are a central tool in mechanistic interpretability. However, existing SAEs are primarily trained per layer. The modeling subspace is therefore fixed by l…
cs.LG2025
NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs
Zhaoge Bi, Linghan Huang, Haolin Jin +2
Electricity price forecasting is a critical component of modern energy-management systems, yet existing approaches heavily rely on numerical histories and ignore contemporaneous te…