| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 53118* | 2015 |
| Conditional image synthesis with auxiliary classifier gans A Odena, C Olah, J Shlens International conference on machine learning, 2642-2651, 2017 | 3900 | 2017 |
| Understanding LSTM Networks C Olah colah.github.io, 2015 | 2921* | 2015 |
| Concrete problems in AI safety D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané arXiv preprint arXiv:1606.06565, 2016 | 2579 | 2016 |
| Deconvolution and Checkerboard Artifacts A Odena, V Dumoulin, C Olah Distill, 2016 | 1765 | 2016 |
| Feature visualization C Olah, A Mordvintsev, L Schubert Distill 2 (11), e7, 2017 | 1330* | 2017 |
| Inceptionism: Going deeper into neural networks A Mordvintsev, C Olah, M Tyka Google research blog 20 (14), 5, 2015 | 985* | 2015 |
| TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2015 | 834 | 2015 |
| The building blocks of interpretability C Olah, A Satyanarayan, I Johnson, S Carter, L Schubert, K Ye, ... Distill 3 (3), e10, 2018 | 820* | 2018 |
| 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 | 671 | 2022 |
| 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 | 577 | 2022 |
| Document embedding with paragraph vectors AM Dai, C Olah, QV Le arXiv preprint arXiv:1507.07998, 2015 | 563 | 2015 |
| TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, G Corrado, ... URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015 | 330 | 2015 |
| In-context learning and induction heads C Olsson, N Elhage, N Nanda, N Joseph, N DasSarma, T Henighan, ... arXiv preprint arXiv:2209.11895, 2022 | 284* | 2022 |
| TensorFlow: Large-scale machine learning on heterogeneous systems (2015), software available from tensorflow. org M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2019 | 279 | 2019 |
| 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, 2021 | 275* | 2021 |
| 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 | 275 | 2021 |
| Activation atlas S Carter, Z Armstrong, L Schubert, I Johnson, C Olah Distill 4 (3), e15, 2019 | 250* | 2019 |
| Zoom in: An introduction to circuits C Olah, N Cammarata, L Schubert, G Goh, M Petrov, S Carter Distill 5 (3), e00024. 001, 2020 | 246 | 2020 |
| 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 | 220 | 2022 |
Dario AmodeiCEO and Co-Founder at AnthropicEmail verificata su anthropic.com
