ashamed - Story 9894 | Emotion Vectors in Gemma4-31B

The professor’s voice echoed in Amelia's ears, “See me after class.” She knew immediately. She braced herself as she walked to the professor's desk. The words that came next confirmed her worst fears, the grade lower than she thought possible. Her ears felt hot, her face flushed.

Outside, she ducked her head, hoping to vanish into the crowd. She avoided her friends, unable to meet their eyes. The weight of her failure was a physical burden, making her shoulders slump. She walked alone, a sense of deep, internal unease washing over her.

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