Common
Polysemanticity
Phenomenon in neural networks
Polysemanticity
Polysemanticity is a phenomenon in neural networks in which individual neurons respond to multiple unrelated concepts rather than to a single well-defined one. A polysemantic neuron might activate for legal text, DNA sequences, and Hebrew script simultaneously. Because such neurons cannot be straightforwardly interpreted, polysemanticity is a central obstacle in mechanistic interpretability.
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