Michaud, Eric J.

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Marks, S., Rager, C., Michaud, E. J., Belinkov, Y., Bau, D., & Mueller, A. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 295

Open Problems in Mechanistic Interpretability

Sharkey, L., Chughtai, B., Batson, J., Lindsey, J., Wu, J., Bushnaq, L., Goldowsky-Dill, N., Heimersheim, S., Ortega, A., Bloom, J., et al. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Neural Networks and Applications

Cited by 291

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Casper, S., Davies, X., Shi, C., Gilbert, T. K., Scheurer, J., Rando, J., Freedman, R., Korbak, T., Lindner, D., Freire, P., et al. (2023) · arXiv

Reinforcement Learning in RoboticsPsychiatry, Mental Health, Neuroscience

Cited by 101

The Quantization Model of Neural Scaling

Michaud, E. J., Liu, Z., Girit, U., & Tegmark, M. (2023) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 57

Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code

Michaud, E. J., Liao, I., Lad, V., Liu, Z., Mudide, A., Loughridge, C., Guo, Z. C., Kheirkhah, T. R., Vukelić, M., & Tegmark, M. (2024) · Entropy

Explainable Artificial Intelligence (XAI)Software Engineering Research

Cited by 30

The Geometry of Concepts: Sparse Autoencoder Feature Structure

Li, Y., Michaud, E. J., Baek, D. D., Engels, J., Sun, X., & Tegmark, M. (2024) · arXiv

Topic ModelingFace and Expression Recognition

Cited by 14

Understanding Learned Reward Functions

Michaud, E. J., Gleave, A., & Russell, S. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Reinforcement Learning in Robotics

Cited by 7

Opening the AI black box: program synthesis via mechanistic interpretability

Michaud, E. J., Liao, I., Lad, V., Liu, Z., Mudide, A., Loughridge, C., Guo, Z. C., Kheirkhah, T. R., Vukelić, M., & Tegmark, M. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Evolutionary Algorithms and Applications

Cited by 3

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Casper, S., Davies, X., Shi, C., Krendl Gilbert, T., Scheurer, J., Rando Ramirez, J., Freedman, R., Korbak, T., Lindner, D., Freire, P., et al. (2023) · ETH Zurich

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 3