@inproceedings{balagansky-etal-2025-train,
    title = "Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy",
    author = "Balagansky, Nikita  and
      Aksenov, Yaroslav  and
      Laptev, Daniil  and
      Kurochkin, Vadim  and
      Gerasimov, Gleb  and
      Koriagin, Nikita  and
      Gavrilov, Daniil",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.515/",
    pages = "10182--10190",
    ISBN = "979-8-89176-332-6"
}