| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 59698* | 2015 |
| Conditional image synthesis with auxiliary classifier gans A Odena, C Olah, J Shlens International conference on machine learning, 2642-2651, 2017 | 4436 | 2017 |
| Concrete problems in AI safety D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané arXiv preprint arXiv:1606.06565, 2016 | 3267 | 2016 |
| Understanding LSTM Networks C Olah colah.github.io, 2015 | 2972* | 2015 |
| Deconvolution and Checkerboard Artifacts A Odena, V Dumoulin, C Olah Distill, 2016 | 1979 | 2016 |
| 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 | 1887 | 2022 |
| Feature visualization C Olah, A Mordvintsev, L Schubert Distill 2 (11), e7, 2017 | 1564* | 2017 |
| 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 | 1404 | 2022 |
| Inceptionism: Going deeper into neural networks A Mordvintsev, C Olah, M Tyka Google research blog 20 (14), 5, 2015 | 1109* | 2015 |
| The building blocks of interpretability C Olah, A Satyanarayan, I Johnson, S Carter, L Schubert, K Ye, ... Distill 3 (3), e10, 2018 | 895* | 2018 |
| 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 | 676* | 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 | 651* | 2022 |
| Document embedding with paragraph vectors AM Dai, C Olah, QV Le arXiv preprint arXiv:1507.07998, 2015 | 589 | 2015 |
| 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 | 528 | 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 | 463 | 2020 |
| 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 | 401 | 2021 |
| 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 | 394 | 2022 |
| Understanding LSTM networks. 2015 C Olah | 388 | 2015 |
| 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 | 387 | 2021 |
| 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 | 357 | 2023 |
Dario AmodeiCEO and Co-Founder at AnthropicE-mailová adresa ověřena na: anthropic.com
