Olah, Chris

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., et al. (2016) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 9,408

In-context Learning and Induction Heads

Olsson, C., Elhage, N., Nanda, N., Joseph, N., DasSarma, N., Henighan, T., Mann, B., Askell, A., Bai, Y., Chen, A., et al. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1,170

Feature visualization

Olah, C., Mordvintsev, A., & Schubert, L. (2017) · Distill

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 880

The Building Blocks of Interpretability

Olah, C., Satyanarayan, A., Johnson, I., Carter, S., Schubert, L., Ye, K., & Mordvintsev, A. (2018) · Distill

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 591

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Bai, Y., Jones, A., Ndousse, K., Askell, A., Chen, A., DasSarma, N., Drain, D., Fort, S., Ganguli, D., Henighan, T., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 442

Multimodal Neurons in Artificial Neural Networks

Goh, G., Cammarata, N., Voss, C., Carter, S., Petrov, M., Schubert, L., Radford, A., & Olah, C. (2021) · Distill

Neural Networks and ApplicationsMultimodal Machine Learning Applications

Cited by 330

Zoom In: An Introduction to Circuits

Olah, C., Cammarata, N., Schubert, L., Goh, G., Petrov, M., & Carter, S. (2020) · Distill

Engineering and Technology InnovationsEngineering Education and Pedagogy

Cited by 288

Language Models (Mostly) Know What They Know

Kadavath, S., Conerly, T., Askell, A., Henighan, T., Drain, D., Perez, E., Schiefer, N., Hatfield-Dodds, Z., DasSarma, N., Tran-Johnson, E., et al. (2022) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 187

Activation Atlas

Carter, S., Armstrong, Z., Schubert, L., Johnson, I., & Olah, C. (2019) · Distill

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 147

A General Language Assistant as a Laboratory for Alignment

Askell, A., Bai, Y., Chen, A., Drain, D., Ganguli, D., Henighan, T., Jones, A., Joseph, N., Mann, B., DasSarma, N., et al. (2021) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 146

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Ganguli, D., Lovitt, L., Kernion, J., Askell, A., Bai, Y., Kadavath, S., Mann, B., Perez, E., Schiefer, N., Ndousse, K., et al. (2022) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 130

Curve Detectors

Cammarata, N., Goh, G., Carter, S., Schubert, L., Petrov, M., & Olah, C. (2020) · Distill

Image and Object Detection TechniquesAdvanced Neural Network Applications

Cited by 41

Understanding RL vision

Hilton, J., Cammarata, N., Carter, S., Goh, G., & Olah, C. (2020) · Distill

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 37

Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet

Templeton, A., Conerly, T., Marcus, J., Lindsey, J., Bricken, T., Chen, B., Pearce, A., Citro, C., Ameisen, E., Jones, A., et al. (2026) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 36

Scaling Laws and Interpretability of Learning from Repeated Data

Hernandez, D., Brown, T., Conerly, T., DasSarma, N., Drain, D., El-Showk, S., Elhage, N., Hatfield-Dodds, Z., Henighan, T., Hume, T., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 24