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, circuit discovery, activation patching, and representation engineering, with a focus on compositional structure in learned representations, as well as testing universality across models and languages
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guidelines for legal use of the technology. The successful candidate is expected to conduct research in the different types of AI, including Generative, Symbolic and Neuro-symbolic AI for computational law and
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, circuit discovery, activation patching, and representation engineering, with a focus on compositional structure in learned representations, as well as testing universality across models and languages
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