Alex Mallen is a researcher with experience in natural language processing and AI applications. They have worked as an undergraduate researcher at the University of Washington, where they conducted research on language model augmentations and probabilistic forecasting. Currently, they are working at EleutherAI as a researcher focusing on language model interpretability and alignment. Their research interests include extracting robust representations from imperfect supervision and addressing the Eliciting Latent Knowledge (ELK) problem.
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