Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning
NeurIPSSpotlight2025
TL;DR
Language model activations entangle concepts that mediate their behavior, making it difficult to interpret these factors, which has implications for generalizability and robustness…
Opening excerpt from the authors’ abstract. source
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Topics
representation learning language model robustness causal
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