Title
Towards Open-Ended Visual Scientific Discovery with Sparse Autoencoders Samuel Stevens Jacob Beattie T. Berger-Wolf Yu-Chuan Su 48 0 0 21 Nov 2025
Sparse Autoencoders are Topic Models Leander Girrbach Zeynep Akata 69 0 0 20 Nov 2025
Visual Exploration of Feature Relationships in Sparse Autoencoders with Curated Concepts Xinyuan Yan Shusen Liu Kowshik Thopalli Bei Wang 84 0 0 08 Nov 2025
Re-envisioning Euclid Galaxy Morphology: Identifying and Interpreting Features with Sparse Autoencoders John F. Wu Michael Walmsley 81 0 0 27 Oct 2025
Does higher interpretability imply better utility? A Pairwise Analysis on Sparse Autoencoders Xu Wang Yan Hu Benyou Wang Difan Zou LLMSV 176 1 0 04 Oct 2025
AbsTopK: Rethinking Sparse Autoencoders For Bidirectional Features Xudong Zhu Mohammad Mahdi Khalili Zhihui Zhu 196 0 0 01 Oct 2025
Measuring Sparse Autoencoder Feature Sensitivity Claire Tian Katherine Tian Nathan Hu 148 0 0 28 Sep 2025
LLM Interpretability with Identifiable Temporal-Instantaneous Representation Xiangchen Song Jiaqi Sun Zijian Li Yujia Zheng Kun Zhang 72 0 0 27 Sep 2025
Analysis of Variational Sparse Autoencoders Zachary Baker Yuxiao Li DRL 231 0 0 26 Sep 2025
OrtSAE: Orthogonal Sparse Autoencoders Uncover Atomic Features Anton Korznikov Andrey V. Galichin Alexey Dontsov Oleg Y. Rogov Elena Tutubalina Ivan Oseledets 100 0 0 26 Sep 2025
ConceptViz: A Visual Analytics Approach for Exploring Concepts in Large Language Models Xue Yang Zhen Wen Qiqi Jiang Chenxiao Li Yuwei Wu Y. Yang Yiyao Wang Xiuqi Huang Minfeng Zhu Wei Chen 111 0 0 20 Sep 2025
Rethinking Sparse Autoencoders: Select-and-Project for Fairness and Control from Encoder Features Alone Antonio Bărbălău Cristian Daniel Păduraru Teodor Poncu Alexandru Tifrea Elena Burceanu 100 0 0 13 Sep 2025
Sparse Autoencoder Neural Operators: Model Recovery in Function Spaces Bahareh Tolooshams Ailsa Shen A. Anandkumar 61 0 0 03 Sep 2025
CE-Bench: Towards a Reliable Contrastive Evaluation Benchmark of Interpretability of Sparse Autoencoders Alex Gulko Yusen Peng Sachin Kumar 84 0 0 31 Aug 2025
Distribution-Aware Feature Selection for SAEs Narmeen Oozeer Nirmalendu Prakash Michael Lan Alice Rigg Amirali Abdullah 59 0 0 29 Aug 2025
AdaptiveK Sparse Autoencoders: Dynamic Sparsity Allocation for Interpretable LLM Representations Yifei Yao Mengnan Du 111 0 0 24 Aug 2025
Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Shurui Gui Shuiwang Ji LRM 206 2 0 11 Jun 2025
Transferring Linear Features Across Language Models With Model Stitching Alan Chen Jack Merullo Alessandro Stolfo Ellie Pavlick 172 1 0 07 Jun 2025
Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy Nikita Balagansky Gleb Gerasimov Yaroslav Aksenov Daniil Laptev Vadim Kurochkin Nikita Koryagin Daniil Gavrilov 173 0 0 30 May 2025
Train Sparse Autoencoders Efficiently by Utilizing Features Correlation Daniil Laptev Gleb Gerasimov Yaroslav Aksenov Daniil Gavrilov Nikita Balagansky 161 0 0 28 May 2025
Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders James Oldfield Shawn Im Yixuan Li M. Nicolaou Ioannis Patras Grigorios G. Chrysos MoE 252 0 0 27 May 2025
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces Romeo Valentin Sydney M. Katz Vincent Vanhoucke Mykel J. Kochenderfer 151 0 0 24 May 2025
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target AtomsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Mengru Wang Ziwen Xu Shengyu Mao Shumin Deng Zhaopeng Tu Ningyu Zhang Ningyu Zhang LLMSV 370 8 0 23 May 2025
Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models Patrick Leask Neel Nanda Noura Al Moubayed 223 1 0 23 May 2025
Interpretability Illusions with Sparse Autoencoders: Evaluating Robustness of Concept Representations Aaron Jiaxun Li Suraj Srinivas Usha Bhalla Himabindu Lakkaraju AAML 275 3 0 21 May 2025
Ensembling Sparse Autoencoders Soham Gadgil Chris Lin Su-In Lee 234 1 0 21 May 2025
Feature Hedging: Correlated Features Break Narrow Sparse Autoencoders David Chanin Tomáš Dulka Adrià Garriga-Alonso 284 4 0 16 May 2025
Evaluating Explanations: An Explanatory Virtues Framework for Mechanistic Interpretability -- The Strange Science Part I.ii Kola Ayonrinde Louis Jaburi XAI 230 2 0 02 May 2025
MIB: A Mechanistic Interpretability Benchmark Aaron Mueller Atticus Geiger Sarah Wiegreffe Dana Arad Iván Arcuschin ... Alessandro Stolfo Martin Tutek Amir Zur David Bau Yonatan Belinkov 532 6 0 17 Apr 2025
$SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs$ SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs Aashiq Muhamed Jacopo Bonato Mona Diab Virginia Smith MU 308 16 0 11 Apr 2025
Evaluating and Designing Sparse Autoencoders by Approximating Quasi-Orthogonality Sewoong Lee Adam Davies Marc E. Canby Anjali Narayan-Chen LLMSV 175 2 0 31 Mar 2025
Revisiting End-To-End Sparse Autoencoder Training: A Short Finetune Is All You Need Adam Karvonen 225 1 0 21 Mar 2025
Learning Multi-Level Features with Matryoshka Sparse Autoencoders Bart Bussmann Noa Nabeshima Adam Karvonen Neel Nanda 257 43 0 21 Mar 2025
Sparse Autoencoders Can Interpret Randomly Initialized Transformers Thomas Heap Tim Lawson Lucy Farnik Laurence Aitchison 185 27 0 29 Jan 2025
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous WordsInternational Conference on Learning Representations (ICLR), 2025 Gouki Minegishi Hiroki Furuta Yusuke Iwasawa Y. Matsuo 327 9 0 09 Jan 2025
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks Can Rager Eric J. Michaud Yonatan Belinkov David Bau Aaron Mueller 451 233 0 28 Mar 2024