Study Shows Neural Network Embeddings Approximable by Symbolic Vectors
xuanalogue · x · 2026-09-02
Tallie Z.zen shared a study deemed significant for interpretability and cognitive science. The research demonstrates that neural network embeddings can be extremely well approximated by linear combinations of vectors based on symbolic representations. The work is authored by RTomMcCoy.
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