Jack Lindsey

According to our database, Jack Lindsey authored at least 18 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Slot Machines: How LLMs Keep Track of Multiple Entities.

Paul C. Bogdan, Jack Lindsey

CoRR, April, 2026

Introspection Adapters: Training LLMs to Report Their Learned Behaviors.

Keshav Shenoy, Li Yang, Abhay Sheshadri, Sören Mindermann, Jack Lindsey, Samuel Marks, Rowan Wang

CoRR, April, 2026

Emotion Concepts and their Function in a Large Language Model.

Nicholas Sofroniew, Isaac Kauvar, William Saunders, Runjin Chen, Tom Henighan, Sasha Hydrie, Craig Citro, Adam Pearce, Julius Tarng, Wes Gurnee, Joshua Batson, Sam Zimmerman, Kelley Rivoire, Kyle Fish, Chris Olah, Jack Lindsey

CoRR, April, 2026

Mechanisms of Introspective Awareness.

Uzay Macar, Li Yang, Atticus Wang, Peter Wallich, Emmanuel Ameisen, Jack Lindsey

CoRR, March, 2026

The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models.

Christina Lu, Jack Gallagher, Jonathan Michala, Kyle Fish, Jack Lindsey

CoRR, January, 2026

Emergent Introspective Awareness in Large Language Models.

Jack Lindsey

CoRR, January, 2026

2025

Natural Emergent Misalignment from Reward Hacking in Production RL.

Monte MacDiarmid, Benjamin Wright, Jonathan Uesato, Joe Benton, Jonathan Kutasov, Sara Price, Naia Bouscal, Samuel R. Bowman, Trenton Bricken, Alex Cloud, Carson Denison, Johannes Gasteiger, Ryan Greenblatt, Jan Leike, Jack Lindsey, Vladimir Mikulik, Ethan Perez, Alex Rodrigues, Drake Thomas, Albert Webson, Daniel M. Ziegler, Evan Hubinger

CoRR, November, 2025

Persona Vectors: Monitoring and Controlling Character Traits in Language Models.

Runjin Chen, Andy Arditi, Henry Sleight, Owain Evans, Jack Lindsey

CoRR, July, 2025

Auditing language models for hidden objectives.

Samuel Marks, Johannes Treutlein, Trenton Bricken, Jack Lindsey, Jonathan Marcus, Siddharth Mishra-Sharma, Daniel M. Ziegler, Emmanuel Ameisen, Joshua Batson, Tim Belonax, Samuel R. Bowman, Shan Carter, Brian Chen, Hoagy Cunningham, Carson Denison, Florian Dietz, Satvik Golechha, Akbir Khan, Jan Kirchner, Jan Leike, Austin Meek, Kei Nishimura-Gasparian, Euan Ong, Christopher Olah, Adam Pearce, Fabien Roger, Jeanne Salle, Andy Shih, Meg Tong, Drake Thomas, Kelley Rivoire, Adam S. Jermyn, Monte MacDiarmid, Tom Henighan, Evan Hubinger

CoRR, March, 2025

Open Problems in Mechanistic Interpretability.

Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeffrey Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, William Saunders, Eric J. Michaud, Stephen Casper, Max Tegmark, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Tom McGrath

Trans. Mach. Learn. Res., 2025

2022

Action-modulated midbrain dopamine activity arises from distributed control policies.

Jack Lindsey, Ashok Litwin-Kumar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sequence Learning and Consolidation on Loihi using On-chip Plasticity.

Jack Lindsey, James B. Aimone

Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

2020

Learning to Learn with Feedback and Local Plasticity.

Jack Lindsey, Ashok Litwin-Kumar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs.

Jack Lindsey, Samuel A. Ocko, Surya Ganguli, Stéphane Deny

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

The emergence of multiple retinal cell types through efficient coding of natural movies.

Samuel A. Ocko, Jack Lindsey, Surya Ganguli, Stéphane Deny

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Semiparametric Reinforcement Learning.

Mika Sarkin Jain, Jack Lindsey

Proceedings of the 6th International Conference on Learning Representations, 2018

A Neural Network Model of Complementary Learning Systems.

Mika Sarkin Jain, Jack Lindsey

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Pre-training Attention Mechanisms.

Jack Lindsey

CoRR, 2017