ashamed - Story 9524 | Emotion Vectors in Gemma4-31B

The silence in the gallery was suffocating. Mark stood, rigidly, in front of his painting, a landscape he'd poured his heart into. A landscape that now, he knew, was partly a copy. Silas Blackwood, the literary giant, had used the exact same vista as the backdrop for his latest novel. The implications were a heavy cloak.

His throat felt constricted. He’d been invited to a private viewing, a celebration of the exhibition. But he didn't want to talk to anyone, couldn't meet anyone’s gaze. He felt a deep, uncomfortable pressure in his stomach. The carefully constructed façade he projected, the image of the aspiring artist, felt fragile, ready to shatter.

He excused himself, his voice barely a whisper, and fled.

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:

`S`	0.376
`ashamed`	0.344
`ness`	0.327
`逃`	0.297
`😞`	0.295

Suppressed:

`de`	-0.539
`que`	-0.300
`😍`	-0.288
`(!)`	-0.269
`🤩`	-0.242