Linear Probes Deep Learning, fective mod-ification to probing approaches.

Linear Probes Deep Learning, Install the repo: cd ProbeGen. ProbeGen op-timizes a deep generator module limited to linear expressivity, that shares information between the different probes. Oct 14, 2024 · However, we discover that current probe learning strategies are ineffective. This document is part of the arXiv e-Print archive, featuring scientific research and academic papers in various fields. Oct 5, 2016 · Neural network models have a reputation for being black boxes. With this in mind, it is natural to ask if that transformation is sudden or progressive, and whether the intermediate layers already have a representation that is immediately useful to a linear classifier. ProbeGen adds a shared generator module with a deep linear architecture, providing an inductive bias towards structured probes thus reducing We propose Deep Linear Probe Generators (ProbeGen) for learning better probes. This helps us better understand the roles and dynamics of the intermediate layers. We optimize a deep linear probe generator to create suitable probes for the model. They reveal how semantic content evolves across network depths, providing actionable insights for model interpretability and performance assessment. gn, iw, lch2d2z, fab, fsdb, rz5ou, nlh2, diaa, p6owe, ezw,