Rajamanoharan, Senthooran

Chain-of-Thought Reasoning In The Wild Is Not Always Faithful

Arcuschin, I., Janiak, J., Krzyzanowski, R., Rajamanoharan, S., Nanda, N., & Conmy, A. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 6

Improving Dictionary Learning with Gated Sparse Autoencoders

Rajamanoharan, S., Conmy, A., Smith, L., Lieberum, T., Varma, V., Kramár, J., Shah, R., & Nanda, N. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 3

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Lieberum, T., Rajamanoharan, S., Conmy, A., Smith, L., Sonnerat, N., Varma, V., Kramár, J., Dragan, A., Shah, R., & Nanda, N. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 2

Convergent Linear Representations of Emergent Misalignment

Soligo, A., Turner, E., Rajamanoharan, S., & Nanda, N. (2025) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

Model Organisms for Emergent Misalignment

Turner, E., Soligo, A., Taylor, M., Rajamanoharan, S., & Nanda, N. (2025) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 0