Curt Tigges

According to our database, Curt Tigges authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

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

Sparse Autoencoders Do Not Find Canonical Units of Analysis.

Patrick Leask, Bart Bussmann, Michael T. Pearce, Joseph Isaac Bloom, Curt Tigges, Noura Al Moubayed, Lee Sharkey, Neel Nanda

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion.

Shizhuo Dylan Zhang, Curt Tigges, Zory Zhang, Stella Biderman, Maxim Raginsky, Talia Ringer

Trans. Mach. Learn. Res., 2024

LLM Circuit Analyses Are Consistent Across Training and Scale.

Curt Tigges, Michael Hanna, Qinan Yu, Stella Biderman

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

2023

Linear Representations of Sentiment in Large Language Models.

Curt Tigges, Oskar John Hollinsworth, Atticus Geiger, Neel Nanda

CoRR, 2023

Can Transformers Learn to Solve Problems Recursively?

Shizhuo Dylan Zhang, Curt Tigges, Stella Biderman, Maxim Raginsky, Talia Ringer

CoRR, 2023