Readout Scaling Shapes Sparse Feature Recovery
Together, these results show how readout scaling, the data distribution, and training shape sparse learning, and RC-DS provides an information-preserving method for studying and controlling the readout's contribution.
Brian Xiao, Sarah Wilson
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