Evidence for an Intuitive Physics Engine in the Human Brain. - Sarah Schwettmann; Jason Fischer; Josh Tenenbaum 001; Nancy Kanwisher (CogSci, 2018)

Latent Compass: Creation by Navigation. - Sarah Schwettmann; Hendrik Strobelt; Mauro Martino (CoRR, 2020)

Toward a Visual Concept Vocabulary for GAN Latent Space. - Sarah Schwettmann; Evan Hernandez; David Bau; Samuel Klein; Jacob Andreas; Antonio Torralba 001 (ICCV, 2021)

Natural Language Descriptions of Deep Visual Features. - Evan Hernandez; Sarah Schwettmann; David Bau; Teona Bagashvili; Antonio Torralba 001; Jacob Andreas (ICLR, 2022)

Multimodal Neurons in Pretrained Text-Only Transformers. - Sarah Schwettmann; Neil Chowdhury; Samuel Klein; David Bau; Antonio Torralba 001 (ICCV (Workshops), 2023)

FIND: A Function Description Benchmark for Evaluating Interpretability Methods. - Sarah Schwettmann; Tamar Rott Shaham; Joanna Materzynska; Neil Chowdhury; Shuang Li 013; Jacob Andreas; David Bau; Antonio Torralba 001 (NeurIPS, 2023)

Multimodal Neurons in Pretrained Text-Only Transformers. - Sarah Schwettmann; Neil Chowdhury; Antonio Torralba 001 (CoRR, 2023)

A Function Interpretation Benchmark for Evaluating Interpretability Methods. - Sarah Schwettmann; Tamar Rott Shaham; Joanna Materzynska; Neil Chowdhury; Shuang Li 013; Jacob Andreas; David Bau; Antonio Torralba 001 (CoRR, 2023)

An Alternative to Regulation: The Case for Public AI. - Nicholas Vincent; David Bau; Sarah Schwettmann; Joshua Tan (CoRR, 2023)

Nearest Neighbor Normalization Improves Multimodal Retrieval. - Neil Chowdhury; Franklin Wang; Sumedh Shenoy; Douwe Kiela; Sarah Schwettmann; Tristan Thrush (EMNLP, 2024)

A Multimodal Automated Interpretability Agent. - Tamar Rott Shaham; Sarah Schwettmann; Franklin Wang; Achyuta Rajaram; Evan Hernandez; Jacob Andreas; Antonio Torralba 001 (ICML, 2024)

Automatic Discovery of Visual Circuits. - Achyuta Rajaram; Neil Chowdhury; Antonio Torralba 001; Jacob Andreas; Sarah Schwettmann (CoRR, 2024)

Eliciting Language Model Behaviors with Investigator Agents. - Xiang Lisa Li; Neil Chowdhury; Daniel D. Johnson 001; Tatsunori Hashimoto; Percy Liang; Sarah Schwettmann; Jacob Steinhardt (CoRR, 2025)

Line of Sight: On Linear Representations in VLLMs. - Achyuta Rajaram; Sarah Schwettmann; Jacob Andreas; Arthur Conmy (CoRR, 2025)

The Singapore Consensus on Global AI Safety Research Priorities. - Yoshua Bengio; Tegan Maharaj; Luke Ong; Stuart Russell 001; Dawn Song; Max Tegmark; Lan Xue; Ya-Qin Zhang; Stephen Casper; Wan Sie Lee; Sören Mindermann; Vanessa Wilfred; et al. (CoRR, 2025)

Establishing Best Practices for Building Rigorous Agentic Benchmarks. - Yuxuan Zhu; Tengjun Jin; Yada Pruksachatkun; Andy Zhang; Shu Liu; Sasha Cui; Sayash Kapoor; Shayne Longpre; Kevin Meng; Rebecca Weiss; Fazl Barez; Rahul Gupta 001; et al. (CoRR, 2025)