Sheridan Feucht

According to our database, Sheridan Feucht authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior.

Daniel Wurgaft, Can Rager, Matthew Kowal, Vasudev Shyam, Sheridan Feucht, Usha Bhalla, Tal Haklay, Eric J. Bigelow, Raphaël Sarfati, Thomas McGrath, Owen Lewis, Jack Merullo, Noah D. Goodman, Thomas Fel, Atticus Geiger, Ekdeep Singh Lubana

CoRR, May, 2026

Arithmetic in the Wild: Llama uses Base-10 Addition to Reason About Cyclic Concepts.

Sheridan Feucht, Tal Haklay, Usha Bhalla, Daniel Wurgaft, Can Rager, Raphaël Sarfati, Jack Merullo, Thomas McGrath, Owen Lewis, Ekdeep Singh Lubana, Thomas Fel, Atticus Geiger

CoRR, May, 2026

Do Sparse Autoencoders Capture Concept Manifolds?

Usha Bhalla, Thomas Fel, Can Rager, Sheridan Feucht, Tal Haklay, Daniel Wurgaft, Siddharth Boppana, Matthew Kowal, Vasudev Shyam, Jack Merullo, Atticus Geiger, Ekdeep Singh Lubana

CoRR, April, 2026

2025

Vector Arithmetic in Concept and Token Subspaces.

Sheridan Feucht, Byron C. Wallace, David Bau

CoRR, November, 2025

In-Context Learning Without Copying.

Kerem Sahin, Sheridan Feucht, Adam Belfki, Jannik Brinkmann, Aaron Mueller, David Bau, Chris Wendler

CoRR, November, 2025

The Dual-Route Model of Induction.

Sheridan Feucht, Eric Todd, Byron C. Wallace, David Bau

CoRR, April, 2025

2024

Erasing Conceptual Knowledge from Language Models.

Rohit Gandikota, Sheridan Feucht, Samuel Marks, David Bau

CoRR, 2024

Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs.

Sheridan Feucht, David Atkinson, Byron C. Wallace, David Bau

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

2022

NEWTS: A Corpus for News Topic-Focused Summarization.

Seyed Ali Bahrainian, Sheridan Feucht, Carsten Eickhoff

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

A Novel Corpus of Discourse Structure in Humans and Computers.

Babak Hemmatian, Sheridan Feucht, Rachel Avram, Alexander Wey, Muskaan Garg, Kate Spitalnic, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede, Steven A. Sloman

CoRR, 2021

Can computers tell a story? Discourse Structure in Computer-generated Text and Humans.

Alexander Wey, Babak Hemmatian, Rachel Avram, Sheridan Feucht, Kate Spitalnic, Muskaan Garg, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede, Steven A. Sloman

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

The Anatomy of Discourse: Linguistic Predictors of Narrative and Argument Quality.

Sheridan Feucht, Babak Hemmatian, Rachel Avram, Alexander Wey, Kate Spitalnic, Muskaan Garg, Carsten Eickhoff, Ellie Pavlick, Björn Sandstede, Steven A. Sloman

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021