Kantamneni, Subhash

5 publications

ICML 2025 Are Sparse Autoencoders Useful? a Case Study in Sparse Probing Subhash Kantamneni, Joshua Engels, Senthooran Rajamanoharan, Max Tegmark, Neel Nanda

ICLRW 2025 Language Models Use Trigonometry to Do Addition Subhash Kantamneni, Max Tegmark

NeurIPS 2025 Scaling Laws for Scalable Oversight Joshua Engels, David D. Baek, Subhash Kantamneni, Max Tegmark

ICMLW 2024 How Do Transformers "Do" Physics? Investigating the Simple Harmonic Oscillator Subhash Kantamneni, Ziming Liu, Max Tegmark

ICMLW 2023 NuCLR: Nuclear Co-Learned Representations Niklas Nolte, Ouail Kitouni, Sokratis Trifinopoulos, Subhash Kantamneni, Mike Williams