MATS Program

Applied to Reward hacking behavior can generalize across tasks by Ryan Kidd 4d ago

Applied to How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions by Ryan Kidd 7d ago

Applied to Talent Needs of Technical AI Safety Teams by yams 8d ago

Applied to Infra-Bayesian haggling by Ryan Kidd 10d ago

Applied to Language Models Model Us by eggsyntax 15d ago

Applied to MATS Winter 2023-24 Retrospective by Rocket 21d ago

Applied to Towards Multimodal Interpretability: Learning Sparse Interpretable Features in Vision Transformers by Ryan Kidd 1mo ago

Applied to Mechanistically Eliciting Latent Behaviors in Language Models by TurnTrout 1mo ago

Applied to Transcoders enable fine-grained interpretable circuit analysis for language models by Jacob Dunefsky 1mo ago

Applied to End-to-end hacking with language models by tchauvin 2mo ago

Applied to Ophiology (or, how the Mamba architecture works) by Danielle Ensign 2mo ago

Applied to My MATS Summer 2023 experience by James Chua 2mo ago

Applied to Understanding SAE Features with the Logit Lens by Joseph Bloom 3mo ago

Applied to MATS AI Safety Strategy Curriculum by Ryan Kidd 3mo ago

Applied to We Inspected Every Head In GPT-2 Small using SAEs So You Don’t Have To by robertzk 3mo ago

Applied to Implementing activation steering by Annah 4mo ago

Applied to Attention SAEs Scale to GPT-2 Small by robertzk 4mo ago

Applied to How important is AI hacking as LLMs advance? by Artyom Karpov 4mo ago