Adversarial Policies Beat Professional-Level Go AIs. - Tony Tong Wang; Adam Gleave; Nora Belrose; Tom Tseng; Joseph Miller; Michael D. Dennis; Yawen Duan; Viktor Pogrebniak; Sergey Levine; Stuart Russell 001 (CoRR, 2022)

imitation: Clean Imitation Learning Implementations. - Adam Gleave; Mohammad Taufeeque; Juan Rocamonde; Erik Jenner; Steven H. Wang; Sam Toyer; Maximilian Ernestus; Nora Belrose; Scott Emmons; Stuart Russell 001 (CoRR, 2022)

Adversarial Policies Beat Superhuman Go AIs. - Tony Tong Wang; Adam Gleave; Tom Tseng; Kellin Pelrine; Nora Belrose; Joseph Miller; Michael D. Dennis; Yawen Duan; Viktor Pogrebniak; Sergey Levine; Stuart Russell 001 (ICML, 2023)

LEACE: Perfect linear concept erasure in closed form. - Nora Belrose; David Schneider-Joseph; Shauli Ravfogel; Ryan Cotterell; Edward Raff; Stella Biderman (NeurIPS, 2023)

Eliciting Latent Predictions from Transformers with the Tuned Lens. - Nora Belrose; Zach Furman; Logan Smith; Danny Halawi; Igor Ostrovsky; Lev McKinney; Stella Biderman; Jacob Steinhardt (CoRR, 2023)

Eliciting Latent Knowledge from Quirky Language Models. - Alex Mallen; Nora Belrose (CoRR, 2023)

Neural Networks Learn Statistics of Increasing Complexity. - Nora Belrose; Quintin Pope; Lucia Quirke; Alex Mallen; Xiaoli Z. Fern (ICML, 2024)

Does Transformer Interpretability Transfer to RNNs? - Gonçalo Paulo; Thomas Marshall; Nora Belrose (CoRR, 2024)

Balancing Label Quantity and Quality for Scalable Elicitation. - Alex Mallen; Nora Belrose (CoRR, 2024)

Automatically Interpreting Millions of Features in Large Language Models. - Gonçalo Paulo; Alex Mallen; Caden Juang; Nora Belrose (CoRR, 2024)

Refusal in LLMs is an Affine Function. - Thomas Marshall; Adam Scherlis; Nora Belrose (CoRR, 2024)

Understanding Gradient Descent through the Training Jacobian. - Nora Belrose; Adam Scherlis (CoRR, 2024)

Do Transformer Interpretability Methods Transfer to RNNs? - Gonçalo Paulo; Thomas Marshall; Nora Belrose (AAAI, 2025)

Sparse Autoencoders Trained on the Same Data Learn Different Features. - Gonçalo Paulo; Nora Belrose (CoRR, 2025)

Estimating the Probability of Sampling a Trained Neural Network at Random. - Adam Scherlis; Nora Belrose (CoRR, 2025)

Transcoders Beat Sparse Autoencoders for Interpretability. - Gonçalo Paulo; Stepan Shabalin; Nora Belrose (CoRR, 2025)

Partially Rewriting a Transformer in Natural Language. - Gonçalo Paulo; Nora Belrose (CoRR, 2025)

Converting MLPs into Polynomials in Closed Form. - Nora Belrose; Alice Rigg (CoRR, 2025)

Slowing Learning by Erasing Simple Features. - Lucia Quirke; Nora Belrose (CoRR, 2025)

Examining Two Hop Reasoning Through Information Content Scaling. - David Johnston; Nora Belrose (CoRR, 2025)

Mechanistic Anomaly Detection for "Quirky" Language Models. - David Johnston; Arkajyoti Chakraborty; Nora Belrose (CoRR, 2025)

Evaluating SAE interpretability without explanations. - Gonçalo Paulo; Nora Belrose (CoRR, 2025)