David Chanin

According to our database, David Chanin authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

SynthSAEBench: Evaluating Sparse Autoencoders on Scalable Realistic Synthetic Data.

David Chanin, Adrià Garriga-Alonso

CoRR, February, 2026

Biases in the Blind Spot: Detecting What LLMs Fail to Mention.

Iván Arcuschin, David Chanin, Adrià Garriga-Alonso, Oana-Maria Camburu

CoRR, February, 2026

2025

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders.

David Chanin, Adrià Garriga-Alonso

CoRR, August, 2025

Feature Hedging: Correlated Features Break Narrow Sparse Autoencoders.

David Chanin, Tomás Dulka, Adrià Garriga-Alonso

CoRR, May, 2025

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability.

Adam Karvonen, Can Rager, Johnny Lin, Curt Tigges, Joseph Isaac Bloom, David Chanin, Yeu-Tong Lau, Eoin Farrell, Callum McDougall, Kola Ayonrinde, Matthew Wearden, Arthur Conmy, Samuel Marks, Neel Nanda

CoRR, March, 2025

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability.

Adam Karvonen, Can Rager, Johnny Lin, Curt Tigges, Joseph Isaac Bloom, David Chanin, Yeu-Tong Lau, Eoin Farrell, Callum McDougall, Kola Ayonrinde, Demian Till, Matthew Wearden, Arthur Conmy, Samuel Marks, Neel Nanda

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders.

David Chanin, James Wilken-Smith, Tomás Dulka, Hardik Bhatnagar, Joseph Bloom

CoRR, 2024

Analyzing the Generalization and Reliability of Steering Vectors.

Daniel Tan, David Chanin, Aengus Lynch, Dimitrios Kanoulas, Brooks Paige, Adrià Garriga-Alonso, Robert Kirk

CoRR, 2024

Analysing the Generalisation and Reliability of Steering Vectors.

Daniel Tan, David Chanin, Aengus Lynch, Brooks Paige, Dimitrios Kanoulas, Adrià Garriga-Alonso, Robert Kirk

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Identifying Linear Relational Concepts in Large Language Models.

David Chanin, Anthony Hunter, Oana-Maria Camburu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Open-source Frame Semantic Parsing.

David Chanin

CoRR, 2023

Neuro-symbolic Commonsense Social Reasoning.

David Chanin, Anthony Hunter

CoRR, 2023