🔗 Who cites «Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2»

113 papers of our library cite it (of the 149,439 whose bibliographies we read) · 35 with a page here, the most cited first · ← back to «Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2»

1. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
2. Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse AutoencodersarXiv:2410.20526Zhengfu He, Wentao Shu, Xuyang Ge, et al.2024 · 63 citations
3. Unveiling Language-Specific Features in Large Language Models via Sparse AutoencodersAnnual Meeting of the Association for Computational Linguistics (ACL)Boyi Deng, Yu Wan, Baosong Yang, et al.2025 · 18 citations
4. Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target AtomsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengru Wang, Ziwen Xu, Shengyu Mao, et al.2025 · 14 citations
5. Enhancing Automated Interpretability with Output-Centric Feature DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Yoav Gur-Arieh, Roy Mayan, Chen Agassy, et al.2025 · 13 citations
6. Personalized Text Generation with Contrastive Activation SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghao Zhang, Yuting Liu, Wenjie Wang, et al.2025 · 13 citations
7. SAEs Are Good for Steering – If You Select the Right FeaturesConference on Empirical Methods in Natural Language Processing (EMNLP)Dana Arad, Aaron Mueller, Yonatan Belinkov2025 · 12 citations
8. Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zihao Li, Xu Wang, Yuzhe Yang, et al.2025 · 11 citations
9. Route Sparse Autoencoder to Interpret Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Shi, Sihang Li, Tao Liang, et al.2025 · 11 citations
10. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
11. Model Unlearning via Sparse Autoencoder Subspace Guided ProjectionsConference on Empirical Methods in Natural Language Processing (EMNLP)Xu Wang, Zihao Li, Benyou Wang, et al.2025 · 8 citations
12. Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model SteeringFindings of the Association for Computational LinguisticsHaiyan Zhao, Xuansheng Wu, Fan Yang, et al.2026 · 3 citations
13. Qwen-Scope: Turning Sparse Features into Development Tools for Large Language ModelsarXiv:2605.11887Boyi Deng, Xu Wang, Yaoning Wang, et al.2026 · 3 citations
14. Steering Large Language Models for Machine Translation PersonalizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Daniel Scalena, Gabriele Sarti, Arianna Bisazza, et al.2026 · 3 citations
15. SAE-FiRE: Enhancing Earnings Surprise Predictions Through Sparse Autoencoder Feature SelectionFindings of the Association for Computational LinguisticsHuopu Zhang, Yanguang Liu, Miao Zhang, et al.2026 · 2 citations
16. Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation FrameworkFindings of the Association for Computational LinguisticsJiaqi Weng, Han Zheng, Hanyu Zhang, et al.2026 · 2 citations
17. Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage ProfessionalsCHI Conference on Human Factors in Computing SystemsLucy Havens, Benjamin Bach, Melissa Terras, et al.2025 · 2 citations
18. Constructing Interpretable Features from Compositional Neuron GroupsAnnual Meeting of the Association for Computational Linguistics (ACL)Or David Shafran, Atticus Geiger, Mor Geva2026 · 1 citation
19. Deciphering Cultural Representations in Large Language Models via Sparse AutoencodersFindings of the Association for Computational LinguisticsChenye Zou, Difan Jiao, Lijie Hu2026 · 1 citation
20. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
21. Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language ModelsFindings of the Association for Computational LinguisticsHanqi Yan, Xiangxiang Cui, Lu Yin, et al.2026
22. Difference in Task Performance on Sparse Speech RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenjie Peng, Chen Chen, Thomas Hain2026
23. Evaluating the Impact of SAE-based Language Steering on LLM PerformanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Sebastian Zwirner, Wentao Hu, Koshiro Aoki, et al.2026
24. From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ling Shi, Xinwei Wu, Xiaohu Zhao, et al.2026
25. From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts?Annual Meeting of the Association for Computational Linguistics (ACL)Aaron Mueller, Andrew Lee, Shruti Joshi, et al.2026
26. From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder FeaturesJoint Conference on Lexical and Computational Semantics (*SEM)Nakanyseth Vuth, Gilles Sérasset, Didier Schwab2026
27. How Controllable Are Large Language Models? A Unified Evaluation across Behavioral GranularitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwen Xu, Kewei Xu, Haoming Xu, et al.2026
28. Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Dianyun Wang, Qingsen Ma, Yuhu Shang, et al.2026
29. Knowledge Vector of Logical Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Wang, Yuanyuan Lei2026
30. Measuring Mechanistic Independence: Can Bias Be Removed Without Erasing Demographics?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Zhengyang Shan, Aaron Mueller2026
31. Model Directions, Not Words: Mechanistic Topic Models Using Sparse AutoencodersTransactions of the Association for Computational Linguistics (TACL)Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, et al.2026
32. Multilingual Language Models Encode Script Over Linguistic StructureAnnual Meeting of the Association for Computational Linguistics (ACL)Aastha A K Verma, Anwoy Chatterjee, Mehak Gupta, et al.2026
33. Towards Reliable AI Fairness: Challenges in Steering Features within Bias-Implicated NeuronsLanguage Resources and Evaluation Conference (LREC)Ismael Garrido-Munoz, Arturo Montejo-Raez, Fernando Martínez-Santiago2026
34. Understanding Emergent Misalignment via Feature Superposition GeometryAnnual Meeting of the Association for Computational Linguistics (ACL)Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, et al.2026
35. Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative StoryConference of the European Chapter of the Association for Computational Linguistics (EACL)Pedashenko Vladislav, Laida Kushnareva, Yana Khassan Nibal, et al.2026

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