Jacobian Scopes: A Unified Geometric Framework for Token-Level LLM Attribution
This work proposes Jacobian Scopes, a suite of gradient-based, token level causal attribution methods for interpreting LLM predictions that reveal implicit political biases, uncover word- and phrase-level translation strategies, and shed light on recently debated mechanisms underlying in-context time-series forecasting...
To-Ni J. B. Liu, Baran Zadeoglu, Gurbir Arora et al.
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