| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 56941* | 2015 |
| Conditional image synthesis with auxiliary classifier gans A Odena, C Olah, J Shlens International conference on machine learning, 2642-2651, 2017 | 4132 | 2017 |
| Understanding LSTM Networks C Olah colah.github.io, 2015 | 3067* | 2015 |
| Concrete problems in AI safety D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané arXiv preprint arXiv:1606.06565, 2016 | 2902 | 2016 |
| Deconvolution and Checkerboard Artifacts A Odena, V Dumoulin, C Olah Distill, 2016 | 1875 | 2016 |
| Feature visualization C Olah, A Mordvintsev, L Schubert Distill 2 (11), e7, 2017 | 1441* | 2017 |
| 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 | 1099 | 2022 |
| Inceptionism: Going deeper into neural networks A Mordvintsev, C Olah, M Tyka Google research blog 20 (14), 5, 2015 | 1041* | 2015 |
| 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 | 875 | 2022 |
| The building blocks of interpretability C Olah, A Satyanarayan, I Johnson, S Carter, L Schubert, K Ye, ... Distill 3 (3), e10, 2018 | 860* | 2018 |
| Document embedding with paragraph vectors AM Dai arXiv preprint arXiv:1507.07998, 2015 | 577 | 2015 |
| A mathematical framework for transformer circuits N Elhage, N Nanda, C Olsson, T Henighan, N Joseph, B Mann, A Askell, ... Transformer Circuits Thread 1 (1), 12, 2021 | 413* | 2021 |
| In-context learning and induction heads C Olsson, N Elhage, N Nanda, N Joseph, N DasSarma, T Henighan, ... arXiv preprint arXiv:2209.11895, 2022 | 385* | 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 | 341 | 2022 |
| Zoom in: An introduction to circuits C Olah, N Cammarata, L Schubert, G Goh, M Petrov, S Carter Distill 5 (3), e00024. 001, 2020 | 327 | 2020 |
| Multimodal neurons in artificial neural networks G Goh, N Cammarata, C Voss, S Carter, M Petrov, L Schubert, A Radford, ... Distill 6 (3), e30, 2021 | 326 | 2021 |
| A general language assistant as a laboratory for alignment A Askell, Y Bai, A Chen, D Drain, D Ganguli, T Henighan, A Jones, ... arXiv preprint arXiv:2112.00861, 2021 | 303 | 2021 |
| Activation atlas S Carter, Z Armstrong, L Schubert, I Johnson, C Olah Distill 4 (3), e15, 2019 | 263* | 2019 |
| 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 | 243 | 2022 |
| Toy models of superposition N Elhage, T Hume, C Olsson, N Schiefer, T Henighan, S Kravec, ... arXiv preprint arXiv:2209.10652, 2022 | 204 | 2022 |
Dario AmodeiCEO and Co-Founder at AnthropicVerified email at anthropic.com