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ml:mechanistic_interpretability [2025/06/02 11:23] – [Papers] jmflanigml:mechanistic_interpretability [2026/08/05 06:19] (current) – [Overviews] jmflanig
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   * [[https://arxiv.org/pdf/2404.14082|Bereska & Gavves 2024 - Mechanistic Interpretability for AI Safety - A Review]]   * [[https://arxiv.org/pdf/2404.14082|Bereska & Gavves 2024 - Mechanistic Interpretability for AI Safety - A Review]]
   * [[https://arxiv.org/pdf/2407.02646|Rai et al 2024 - A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models]] paper list: [[https://github.com/Dakingrai/awesome-mechanistic-interpretability-lm-papers|github]]   * [[https://arxiv.org/pdf/2407.02646|Rai et al 2024 - A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models]] paper list: [[https://github.com/Dakingrai/awesome-mechanistic-interpretability-lm-papers|github]]
 +  * [[https://arxiv.org/pdf/2410.09087|Saphra & Wiegreffe 2024 - Mechanistic?]]
   * [[https://arxiv.org/pdf/2501.16496|Sharkey et al 2025 - Open Problems in Mechanistic Interpretability]]   * [[https://arxiv.org/pdf/2501.16496|Sharkey et al 2025 - Open Problems in Mechanistic Interpretability]]
   * [[https://arxiv.org/pdf/2502.17516|Lin et al 2025 - A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models]]   * [[https://arxiv.org/pdf/2502.17516|Lin et al 2025 - A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models]]
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   * [[https://arxiv.org/pdf/2304.14767|Geva et al 2023 - Dissecting Recall of Factual Associations in Auto-Regressive Language Models]]   * [[https://arxiv.org/pdf/2304.14767|Geva et al 2023 - Dissecting Recall of Factual Associations in Auto-Regressive Language Models]]
   * [[https://arxiv.org/pdf/2305.00586|Hanna et al 2023 - How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model]]   * [[https://arxiv.org/pdf/2305.00586|Hanna et al 2023 - How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model]]
 +  * [[https://arxiv.org/pdf/2312.02073|Monea et al 2023 - A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia]]
   * [[https://arxiv.org/pdf/2404.14349|Rajaram et al 2024 - Automatic Discovery of Visual Circuits]]   * [[https://arxiv.org/pdf/2404.14349|Rajaram et al 2024 - Automatic Discovery of Visual Circuits]]
   * [[https://openreview.net/pdf?id=PRZ89QElAv|2025 - The role of Mechanistic Interpretability in ’unveiling’ the emergent representations of Large Language Models]] (This paper was rejected from TMLR, see [[https://openreview.net/forum?id=PRZ89QElAv|reviews]])   * [[https://openreview.net/pdf?id=PRZ89QElAv|2025 - The role of Mechanistic Interpretability in ’unveiling’ the emergent representations of Large Language Models]] (This paper was rejected from TMLR, see [[https://openreview.net/forum?id=PRZ89QElAv|reviews]])
ml/mechanistic_interpretability.1748863421.txt.gz · Last modified: 2025/06/02 11:23 by jmflanig

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