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Curt Tigges
Observed name:
Tigges, Curt
Observed institution:
University of Illinois Urbana-Champaign
OpenAlex ID:
A5092031084
Linear Representations of Sentiment in Large Language Models
2023
·
Tigges, Curt
, Hollinsworth, Oskar John
, et al.
·
arXiv (Cornell University)
·
8
PDF
Language Models Linearly Represent Sentiment
2024
·
Oskar John Hollinsworth
, Curt Tigges
, et al.
·
BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP)
·
7
PDF
Can Transformers Learn to Solve Problems Recursively?
2023
·
Zhang, Shizhuo Dylan
, Tigges, Curt
, et al.
·
arXiv (Cornell University)
·
5
PDF
LLM Circuit Analyses Are Consistent Across Training and Scale
2024
·
Curt Tigges
, Michael Hanna
, et al.
·
neural information processing systems
·
2
Multi-Dimensional Featurizers Yield Fine-Grained Steering and Data Shaping in Robot Foundation Models
2026
·
Swann, Aiden
, Jacobs, Mozes
, et al.
·
arXiv (Cornell University)
PDF
Choosing Where and How to Moderate: End-to-End Trade-offs in Filter Placement and Response Rewriting
2026
·
Hu, Mengya
, Park, Susie
, et al.
·
arXiv (Cornell University)
PDF
Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds
2026
·
Fel, Thomas
, Kowal, Matthew
, et al.
·
arXiv (Cornell University)
PDF
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
2025
·
Karvonen, Adam
, Rager, Can
, et al.
·
arXiv (Cornell University)
PDF
Sparse Autoencoders Do Not Find Canonical Units of Analysis
2025
·
Leask, Patrick
, Bussmann, Bart
, et al.
·
Durham Research Online (Durham University)
Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion
2024
·
Zhang, Dylan
, Tigges, Curt
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
11
Citation count:
22
H-index:
3
I10-index:
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