Interpretable Company Similarity with Sparse Autoencoders

Marco Molinari, Victor Shao, Luca Imeneo, Mateusz Mikolajczak, Abhimanyu Pandey, Vladimir Tregubiak, Sebastião Kuznetsov Ryder Torres Pereira. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track). 2025.

Interpretability interpretability Computer Science

View graph Source

Paper

The full text of this publication is not hosted on 44B due to licensing.

Read it at Semantic Scholar

Similar papers

Interpretable Company Similarity with Sparse AutoencodersMarco Molinari, Victor Shao, Imeneo, Luca et al.2024 · arXiv (Cornell University) · 0 citations In Library

On Interpretability of Linear AutoencodersMartin Spišák, Radek Bartyzal, A. Hoskovec et al.2024 · ACM Conference on Recommender Systems · 2 citations In Library

SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of AutoencodersInseok Hwang, Jinho Lee, Frank Liu et al.2020 · arXiv (Cornell University) · 6 citations In Library

Compute Optimal Inference and Provable Amortisation Gap in Sparse AutoencodersCharles O’Neill, Gumran, Alim, Klindt, David2024 · arXiv (Cornell University) · 15 citations In Library

Evaluating Sparse Autoencoders: From Shallow Design to Matching PursuitValérie Costa, Thomas Fel, E. Lubana et al.2025 · arXiv.org · 2 citations In Library

Group Equivariance Meets Mechanistic Interpretability: Equivariant Sparse AutoencodersEge Erdogan, Ana Lucic2025 · arXiv.org · 0 citations In Library

Sparse Autoencoder Insights on Voice EmbeddingsDaniel Pluth, Yu Zhou, Vijay K. Gurbani2025 · arXiv (Cornell University) · 3 citations In Library

Semantic Optimal Transport for Sparse Autoencoder Feature Matching and Circuit CompressionTue Cao, N. Do, My T. Thai2026 · arXiv.org · 0 citations In Library

Transcoders Beat Sparse Autoencoders for InterpretabilityGonccalo Paulo, Stepan Shabalin, Nora Belrose2025 · arXiv.org · 18 citations In Library

Sparse Autoencoder Insights on Voice EmbeddingsDaniel Pluth, Yu Zhou, Vijay K. Gurbani2025 In Library

Source of record

Semantic Scholar

44B

Welcome.

This panel sticks with you. Pick anything below and it opens right beside it, so you can dig through 60,000-plus records without ever losing your spot here.

Travel 44B

LibraryPapers, policy, standards, statute LabsEvery organization building AI ModelsIntelligence, price, and speed BenchmarksThe evaluation catalog IncidentsAI failures and harms SearchOne field across everything DashboardThe state of AI accountability in NY 44B RegistryThe Art. 44-B compliance portal