Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs. - Michael A. Lepori; Tal Linzen; R. Thomas McCoy (ACL, 2020)

Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis. - Michael A. Lepori (COLING, 2020)

Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis. - Michael A. Lepori; R. Thomas McCoy (COLING, 2020)

Can You Hear Me Now? Sensitive Comparisons of Human and Machine Perception. - Michael A. Lepori; Chaz Firestone (Cogn. Sci., 2022)

Break It Down: Evidence for Structural Compositionality in Neural Networks. - Michael A. Lepori; Thomas Serre; Ellie Pavlick (NeurIPS, 2023)

NeuroSurgeon: A Toolkit for Subnetwork Analysis. - Michael A. Lepori; Ellie Pavlick; Thomas Serre (CoRR, 2023)

Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations. - Alexa R. Tartaglini; Sheridan Feucht; Michael A. Lepori; Wai Keen Vong; Charles Lovering; Brenden M. Lake; Ellie Pavlick (CoRR, 2023)

Instilling Inductive Biases with Subnetworks. - Enyan Zhang; Michael A. Lepori; Ellie Pavlick (CoRR, 2023)

Uncovering Intermediate Variables in Transformers using Circuit Probing. - Michael A. Lepori; Thomas Serre; Ellie Pavlick (CoRR, 2023)

Who's asking? User personas and the mechanics of latent misalignment. - Asma Ghandeharioun; Ann Yuan; Marius Guerard; Emily Reif; Michael A. Lepori; Lucas Dixon (NeurIPS, 2024)

Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. - Michael A. Lepori; Alexa R. Tartaglini; Wai Keen Vong; Thomas Serre; Brenden M. Lake; Ellie Pavlick (NeurIPS, 2024)

Racing Thoughts: Explaining Large Language Model Contextualization Errors. - Michael A. Lepori; Michael Mozer; Asma Ghandeharioun (CoRR, 2024)

Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers. - Enyan Zhang; Zewei Wang; Michael A. Lepori; Ellie Pavlick; Helena Aparicio (CoRR, 2024)

Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting. - Suraj Anand; Michael A. Lepori; Jack Merullo; Ellie Pavlick (ICLR, 2025)

Racing Thoughts: Explaining Contextualization Errors in Large Language Models. - Michael A. Lepori; Michael Curtis Mozer; Asma Ghandeharioun (NAACL (Long Papers), 2025)

Linking forward-pass dynamics in Transformers and real-time human processing. - Jennifer Hu 001; Michael A. Lepori; Michael Franke (CoRR, 2025)

Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility. - Michael A. Lepori; Jennifer Hu 001; Ishita Dasgupta 001; Roma Patel; Thomas Serre; Ellie Pavlick (CoRR, 2025)