Adam Karvonen - RankMe

15 papers A* 3Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers. CoRR Adam Karvonen, James Chua, Clément Dumas, Kit Fraser-Taliente, Subhash Kantamneni, Julian Minder, Euan Ong, Arnab Sen Sharma, Daniel Wen, Owain Evans, Samuel Marks
2025	J	`jnl`	Automatically Finding Rule-Based Neurons in OthelloGPT. CoRR Aditya Singh, Zihang Wen, Srujananjali Medicherla, Adam Karvonen, Can Rager
2025	J	`jnl`	DiFR: Inference Verification Despite Nondeterminism. CoRR Adam Karvonen, Daniel Reuter, Roy Rinberg, Luke Marks, Adrià Garriga-Alonso, Keri Warr
2025	A*	`conf`	Learning Multi-Level Features with Matryoshka Sparse Autoencoders. ICML Bart Bussmann, Noa Nabeshima, Adam Karvonen, Neel Nanda
2025	J	`jnl`	Learning Multi-Level Features with Matryoshka Sparse Autoencoders. CoRR Bart Bussmann, Noa Nabeshima, Adam Karvonen, Neel Nanda
2025	J	`jnl`	Revisiting End-To-End Sparse Autoencoder Training: A Short Finetune Is All You Need. CoRR Adam Karvonen
2025	J	`jnl`	Robustly Improving LLM Fairness in Realistic Settings via Interpretability. CoRR Adam Karvonen, Samuel Marks
2025	A*	`conf`	SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability. ICML 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
2025	J	`jnl`	SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability. CoRR 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
2025	J	`jnl`	Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning. CoRR Helena Casademunt, Caden Juang, Adam Karvonen, Samuel Marks, Senthooran Rajamanoharan, Neel Nanda
2025	J	`jnl`	Verifying LLM Inference to Prevent Model Weight Exfiltration. CoRR Roy Rinberg, Adam Karvonen, Alex Hoover, Daniel Reuter, Keri Warr
2024	J	`jnl`	Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models. CoRR Adam Karvonen
2024	J	`jnl`	Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks. CoRR Adam Karvonen, Can Rager, Samuel Marks, Neel Nanda
2024	A*	`conf`	Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models. NeurIPS Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks
2024	J	`jnl`	Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models. CoRR Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks