The silence in the small office was deafening. Coach Harris had just delivered the news with a practiced air of detachment. John felt his cheeks burn, and his hands clenched into fists.

He mumbled a polite acknowledgment, then quickly turned to leave. He felt the sting of tears behind his eyes, fighting to remain dry. He wanted to disappear. He longed to sink into the ground and be swallowed whole.

He left the office, his back stiff, his shoulders tense. He focused on the rhythm of his breathing, trying to regain some semblance of control. The sunlight seemed too bright, the sounds of the world too loud. The burden of the moment weighed on him.

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
0.297
😞0.295
Suppressed:
de-0.539
que-0.300
😍-0.288
(!)-0.269
🤩-0.242