--- title: "Who cites A Practical Review of Mechanistic — 48 citing papers" description: "48 papers of the Elamur Research library cite «A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models»…" canonical: "https://research.elamur.ai/free/en/papers/rai-2024-practical-review-mechanistic-interpretability-transformer/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/rai-2024-practical-review-mechanistic-interpretability-transformer/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Practical Review of Mechanistic…](https://md.research.elamur.ai/free/en/papers/rai-2024-practical-review-mechanistic-interpretability-transformer/) / cited by # Who cites «A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models» 48 papers of our library cite it (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · [← back to «A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models»](https://md.research.elamur.ai/free/en/papers/rai-2024-practical-review-mechanistic-interpretability-transformer/) 1. [**Mechanistic Interpretability for AI Safety — A Review arXiv:2404.14082**Leonard Bereska, Efstratios Gavves*2024 · 108 citations*](https://md.research.elamur.ai/free/en/papers/bereska-2024-mechanistic-interpretability-ai-safety-review/) 2. **[Multi-Step Reasoning with Large Language Models, a Survey](https://md.research.elamur.ai/free/en/papers/plaat-2024-multi-step-reasoning-large-language/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Aske Plaat, Annie Wong, Suzan Verberne, et al.*2024 · 106 citations* 3. **[Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-lost-multilinguality-dissecting-cross-lingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingyang Wang, Heike Adel, Lukas Lange, et al.*2025 · 31 citations* 4. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations* 5. [**Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path? arXiv:2502.15657**Yoshua Bengio, Michael Cohen, Damiano Fornasiere, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/bengio-2025-superintelligent-agents-pose-catastrophic-risks/) 6. **[Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-locate-steer-improve-practical-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.*2026 · 9 citations* 7. **[The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation Analysis](https://md.research.elamur.ai/free/en/papers/mueller-2026-quest-right-mediator-surveying-mechanistic/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Aaron Mueller, Jannik Brinkmann, Millicent Li, et al.*2026 · 7 citations* 8. [**Shared Imagination: LLMs Hallucinate Alike arXiv:2407.16604**Yilun Zhou, Caiming Xiong, Silvio Savarese, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2024-shared-imagination-llms-hallucinate-alike/) 9. **[All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens](https://md.research.elamur.ai/free/en/papers/mamidanna-2025-all-one-llms-solve-mental/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Siddarth Mamidanna, Daking Rai, Ziyu Yao, et al.*2025 · 6 citations* 10. **[Tug-of-war between idioms' figurative and literal interpretations in LLMs](https://md.research.elamur.ai/free/en/papers/oh-2026-tug-war-between-idioms-figurative/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Soyoung Oh, Xinting Huang, Mathis Pink, et al.*2026 · 1 citation* 11. **[AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model Representations](https://md.research.elamur.ai/free/en/papers/yao-2026-adaptivek-complexity-driven-sparse-autoencoders/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifei Yao, Hanrong Zhang, Mengnan Du*2026* 12. **[FIBER: A Multilingual Evaluation Resource for Factual Inference Bias](https://md.research.elamur.ai/free/en/papers/munis-2026-fiber-multilingual-evaluation-resource-factual/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Evren Ayberk Munis, Deniz Yilmaz, Arianna Muti, et al.*2026* 13. **[From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-insight-action-novel-framework-interpretability/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ling Shi, Xinwei Wu, Xiaohu Zhao, et al.*2026* 14. **[GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language Models](https://md.research.elamur.ai/free/en/papers/pan-2026-geolan-geometric-learning-latent-explanatory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tianyu Pan, Damon L. Woodard*2026* 15. **[Mechanistic Interpretability Meets Cognitive Linguistics: Modelling Locative Image Schemas in the Circuit Framework](https://md.research.elamur.ai/free/en/papers/proietti-2026-mechanistic-interpretability-meets-cognitive-linguistics/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mattia Proietti, Afra Alishahi, Grzegorz Chrupała, et al.*2026* 16. **[Temporal Token Matters: Investigating and Interpreting the Consistency of Temporal Ordering in Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-temporal-token-matters-investigating-interpreting/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhen Yang, Xinyue Zhang, Ping Jian, et al.*2026* 17. **[The Shape of Vulnerability: How Adversarial Perturbations Reshape the Topology of Language Model Latent Spaces](https://md.research.elamur.ai/free/en/papers/tsai-2026-shape-vulnerability-how-adversarial-perturbations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Angelina Tsai, Shreya Subramanian, Catherine Liu, et al.*2026* 31 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/rai-2024-practical-review-mechanistic-interpretability-transformer/) — A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models