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Paper · arXiv

Polysemanticity or Polysemy? Lexical Identity Confounds Superposition Metrics

If the same neuron activates for both "lender" and "riverside," standard metrics attribute the overlap to superposition--the neuron must be compressing two unrelated concepts. This work explores how much of the overlap is due a lexical confound: neurons fire for a shared word form (such as "bank") rather than for two compressed concepts. A 2x2 factorial decomposition reveals that the lexical-only condition (same word, different meaning) consistently exceeds the semantic-only condition (different word, same meaning) across models spanning 110M-70B parameters. The confound carries into sparse autoencoders (18-36% of features blend senses), sits in <=1% of activation dimensions, and hurts do...

AuthorsIyad Ait Hou, Rebecca Hwa
Primary categorycs.CL
Published1 April 2026
Last updated at source1 April 2026
cs.CLcs.AI
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