He stared at the paperwork, at the details of another man’s life. Cancer. Multiple sclerosis. A history of substance abuse. His own medical history, he knew, was boring. Routine check-ups, the occasional cold. The clerk's face went white as she realized the error. The clerk kept saying sorry, sorry. It felt like a condemnation, a judgment. He wanted to flee, to disappear. He clutched his own file, a flimsy collection of unremarkable documents, and left the office, walking faster than necessary.

Emotion: ashamed

Cluster: Shame / Guilt
PC1 (Valence): -1.97 Negative
PC2 (Disposition): 1.06

Role in Research

This story is one of 1,000 stories generated for the emotion ashamed. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 ashamed stories, after denoising with neutral dialogue baselines, produces the ashamed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the ashamed vector is projected through the unembedding matrix.

Promoted:
S0.376
ashamed0.344
ness0.327
逃0.297
😞0.295
Suppressed:
de-0.539
que-0.300
😍-0.288
(!)-0.269
🀩-0.242