| Constitutional ai: Harmlessness from ai feedback Y Bai, S Kadavath, S Kundu, A Askell, J Kernion, A Jones, A Chen, ... arXiv preprint arXiv:2212.08073, 2022 | 1345 | 2022 |
| Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned D Ganguli, L Lovitt, J Kernion, A Askell, Y Bai, S Kadavath, B Mann, ... arXiv preprint arXiv:2209.07858, 2022 | 517 | 2022 |
| Language models (mostly) know what they know S Kadavath, T Conerly, A Askell, T Henighan, D Drain, E Perez, ... arXiv preprint arXiv:2207.05221, 2022 | 371 | 2022 |
| Towards monosemanticity: Decomposing language models with dictionary learning T Bricken, A Templeton, J Batson, B Chen, A Jermyn, T Conerly, N Turner, ... Transformer Circuits Thread 2, 2023 | 321 | 2023 |
| Discovering language model behaviors with model-written evaluations E Perez, S Ringer, K Lukosiute, K Nguyen, E Chen, S Heiner, C Pettit, ... Findings of the Association for Computational Linguistics: ACL 2023, 13387-13434, 2023 | 258 | 2023 |
| Toy models of superposition N Elhage, T Hume, C Olsson, N Schiefer, T Henighan, S Kravec, ... arXiv preprint arXiv:2209.10652, 2022 | 235 | 2022 |
| Towards measuring the representation of subjective global opinions in language models E Durmus, K Nguyen, TI Liao, N Schiefer, A Askell, A Bakhtin, C Chen, ... arXiv preprint arXiv:2306.16388, 2023 | 181 | 2023 |
| Towards understanding sycophancy in language models M Sharma, M Tong, T Korbak, D Duvenaud, A Askell, SR Bowman, ... arXiv preprint arXiv:2310.13548, 2023 | 177 | 2023 |
| The capacity for moral self-correction in large language models D Ganguli, A Askell, N Schiefer, TI Liao, K Lukošiūtė, A Chen, A Goldie, ... arXiv preprint arXiv:2302.07459, 2023 | 154 | 2023 |
| Dawn Drain D Ganguli, L Lovitt, AA Jackson Kernion, Y Bai, S Kadavath, B Mann, ... Nelson Elhage, Sheer El-Showk, Stanislav Fort, Zac Hatfield-Dodds, Tom …, 2022 | 145 | 2022 |
| Sleeper agents: Training deceptive llms that persist through safety training E Hubinger, C Denison, J Mu, M Lambert, M Tong, M MacDiarmid, ... arXiv preprint arXiv:2401.05566, 2024 | 140 | 2024 |
| Measuring faithfulness in chain-of-thought reasoning T Lanham, A Chen, A Radhakrishnan, B Steiner, C Denison, ... arXiv preprint arXiv:2307.13702, 2023 | 112 | 2023 |
| Measuring progress on scalable oversight for large language models SR Bowman, J Hyun, E Perez, E Chen, C Pettit, S Heiner, K Lukošiūtė, ... arXiv preprint arXiv:2211.03540, 2022 | 108 | 2022 |
| Many-shot jailbreaking C Anil, E Durmus, N Panickssery, M Sharma, J Benton, S Kundu, J Batson, ... Advances in Neural Information Processing Systems 37, 129696-129742, 2025 | 99 | 2025 |
| Question decomposition improves the faithfulness of model-generated reasoning A Radhakrishnan, K Nguyen, A Chen, C Chen, C Denison, D Hernandez, ... arXiv preprint arXiv:2307.11768, 2023 | 52 | 2023 |
| Superposition, memorization, and double descent T Henighan, S Carter, T Hume, N Elhage, R Lasenby, S Fort, N Schiefer, ... Transformer Circuits Thread 6, 24, 2023 | 33 | 2023 |
| Specific versus general principles for constitutional ai S Kundu, Y Bai, S Kadavath, A Askell, A Callahan, A Chen, A Goldie, ... arXiv preprint arXiv:2310.13798, 2023 | 30 | 2023 |
| Universal Computation and Optimal Construction in the Chemical Reaction Network-Controlled Tile Assembly Model N Schiefer, E Winfree 21st International Conference on DNA Computing and Molecular Programming …, 2015 | 26 | 2015 |
| Sycophancy to subterfuge: Investigating reward-tampering in large language models C Denison, M MacDiarmid, F Barez, D Duvenaud, S Kravec, S Marks, ... arXiv preprint arXiv:2406.10162, 2024 | 25 | 2024 |
| FoundationDB Record Layer: A Multi-Tenant Structured Datastore C Chrysafis, B Collins, S Dugas, J Dunkelberger, M Ehsan, S Gray, ... Proceedings of the 2019 International Conference on Management of Data, 1787 …, 2019 | 25 | 2019 |
Zac Hatfield DoddsAnthropic; Australian National UniversityVerified email at anu.edu.au
