Time-Aware Feature Selection: Adaptive Temporal Masking for Stable Sparse Autoencoder Training

T. Ed Li, Junyu Ren

Understanding the internal representations of large language models is crucial for ensuring their reliability and safety, with sparse autoencoders (SAEs) emerging as a promising in…