| Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Y Bai, A Jones, K Ndousse, A Askell, A Chen, N DasSarma, D Drain, ... arXiv preprint arXiv:2204.05862, 2022 | 699 | 2022 |
| In-context learning and induction heads C Olsson, N Elhage, N Nanda, N Joseph, N DasSarma, T Henighan, ... Transformer Circuits Thread, 2022 | 317* | 2022 |
| A Mathematical Framework for Transformer Circuits N Elhage, N Nanda, C Olsson, T Henighan, N Joseph, B Mann, A Askell, ... Transformer Circuits Thread, 2021 | 281* | 2021 |
| Progress Measures For Grokking Via Mechanistic Interpretability N Nanda, L Chan, T Liberum, J Smith, J Steinhardt ICLR 2023 Spotlight, 2023 | 174* | 2023 |
| Predictability and surprise in large generative models D Ganguli, D Hernandez, L Lovitt, A Askell, Y Bai, A Chen, T Conerly, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 172 | 2022 |
| Finding Neurons in a Haystack: Case Studies with Sparse Probing W Gurnee, N Nanda, M Pauly, K Harvey, D Troitskii, D Bertsimas Transactions on Machine Learning Research, 2023 | 49 | 2023 |
| A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations B Chughtai, L Chan, N Nanda ICML 2023, 2023 | 47 | 2023 |
| Emergent Linear Representations in World Models of Self-Supervised Sequence Models N Nanda, A Lee, M Wattenberg BlackboxNLP at EMNLP 2023, Honourable Mention for Best Paper, 2023 | 42* | 2023 |
| Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla T Lieberum, M Rahtz, J Kramár, N Nanda, G Irving, R Shah, V Mikulik arXiv preprint arXiv:2307.09458, 2023 | 28 | 2023 |
| TransformerLens: A Library for Mechanistic Interpretability of Language Models N Nanda, J Bloom https://github.com/neelnanda-io/TransformerLens, 2022 | 20* | 2022 |
| Softmax Linear Units N Elhage, T Hume, C Olsson, N Nanda, T Henighan, S Johnston, ... Transformer Circuits Thread, 2022 | 16 | 2022 |
| Towards Best Practices of Activation Patching in Language Models: Metrics and Methods F Zhang, N Nanda ICLR 2024, 2023 | 14 | 2023 |
| Attribution Patching: Activation Patching At Industrial Scale N Nanda https://www.neelnanda.io/mechanistic-interpretability/attribution-patching, 2023 | 14* | 2023 |
| Linear Representations of Sentiment in Large Language Models C Tigges, OJ Hollinsworth, A Geiger, N Nanda NeurIPS 2023 Workshop on Attributing Model Behavior at Scale, 2023 | 12 | 2023 |
| Copy Suppression: Comprehensively Understanding an Attention Head C McDougall, A Conmy, C Rushing, T McGrath, N Nanda NeurIPS 2023 Workshop on Attributing Model Behavior at Scale, 2023 | 9 | 2023 |
| A Comprehensive Mechanistic Interpretability Explainer & Glossary N Nanda https://neelnanda.io/glossary, 2023 | 6* | 2023 |
| Neuroscope N Nanda https://neuroscope.io, 2022 | 5* | 2022 |
| Universal Neurons in GPT2 Language Models W Gurnee, T Horsley, ZC Guo, TR Kheirkhah, Q Sun, W Hathaway, ... arXiv preprint arXiv:2401.12181, 2024 | 4 | 2024 |
| Fact Finding: Attempting to Reverse-Engineer Factual Recall on the Neuron Level N Nanda, S Rajamanoharan, J Kramár, R Shah Alignment Forum, https://www.alignmentforum.org/posts/iGuwZTHWb6DFY3sKB/fact …, 2023 | 4* | 2023 |
| Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching A Makelov, G Lange, N Nanda ICLR 2024, 2023 | 4* | 2023 |
Lawrence ChanPhD Student, UC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
