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cs.LG2025
Enforcing Orderedness to Improve Feature Consistency
Sophie L. Wang, Alex Quach, Nithin Parsan +1
Sparse autoencoders (SAEs) have been widely used for interpretability of neural networks, but their learned features often vary across seeds and hyperparameter settings. We introdu…
cs.LG2025★ 1 cited
LFM2 Technical Report
Alexander Amini, Anna Banaszak, Harold Benoit +30
We present LFM2, a family of Liquid Foundation Models designed for efficient on-device deployment and strong task capabilities. Using hardware-in-the-loop architecture search under…