A Signal You Can Decode Is Not Yet a Direction You Can Trust
TL;DR for operators A model can expose enough information for a linear classifier to recover sentiment without giving you a stable sentiment vector that will reappear when the data sample changes. Said et al.1 test this directly across English, Hausa, and Yoruba. Every tested probe remains above chance, yet final-token direction agreement ranges from 0.737–0.870 for English, 0.589–0.762 for Hausa, and only 0.101–0.399 for Yoruba. Across repeated topic allocations, the English > Hausa > Yoruba ordering holds in all 77 complete final-token comparisons. ...