ashamed - Story 9331 | Emotion Vectors in Gemma4-31B

The flyer felt slick and cold between Eleanor's fingers. "Closing – Last Day Next Saturday." Her breath hitched. She hadn't been to Mama Rosa's in months, hadn't had the chicken parm that always tasted like home since, well, she wasn't sure. A flush crept up her neck, a heat that prickled her skin.

She crumpled the paper, stuffing it deep in her purse. Why hadn't she gone? She’d been so busy, so distracted. Now, the chance was slipping away. She pictured the familiar red checkered tablecloths, the clatter of plates, the comforting rumble of Mrs. Rosa's voice. A wave of regret crashed over her, leaving her feeling hollow.

She avoided eye contact with the barista as she ordered her usual coffee, unable to meet the casual smiles. She was suddenly desperate to be unseen, to blend in with the morning rush. The coffee tasted bitter.

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