"We need to talk." The words echoed in her ears. Coach Lawson had beckoned her aside during practice, his tone carefully neutral. She knew. She had known for weeks.

She'd stumbled through the rest of the drill, her movements clumsy and uncoordinated. The other girls' faces, usually friendly, now seemed distant, their voices muffled. She fumbled with her water bottle, the plastic cold and slick in her hands.

She sat on the bench, watching the team practice, a silent observer. Her teammates’ laughter pierced her like a physical wound. She hugged her knees to her chest, feeling a chill despite the warm air. She didn't stay long.

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