Report
Paper on weight-sparse transformer parameters that ‘appear interpretable’ accepted to NeurIPS 2026
A coauthor asks whether individual neural network weights can be replaced with human-readable Python code.
TLDR
A coauthor announced that “Individual Parameters in Weight-Sparse Transformers Appear Interpretable” was accepted to NeurIPS 2026. The post also asks whether individual neural network weights can be replaced with human-readable Python code.
Combined views
—
1 Source, first seen ago
