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cs.LG2025
Do Sparse Autoencoders Generalize? A Case Study of Answerability
Lovis Heindrich, Philip Torr, Fazl Barez +1
Sparse autoencoders (SAEs) have emerged as a promising approach in language model interpretability, offering unsupervised extraction of sparse features. For interpretability method…
cs.LG2023
Training Dynamics of Contextual N-Grams in Language Models
Lucia Quirke, Lovis Heindrich, Wes Gurnee +1
Prior work has shown the existence of contextual neurons in language models, including a neuron that activates on German text. We show that this neuron exists within a broader cont…