ashamed - Story 9315 | Emotion Vectors in Gemma4-31B

The clatter of dishes in the sink was the first clue. Then, the rhythmic beat of a familiar song. Then, the voice. It wasn't the broken, hesitant Arabic that Daniel had attempted in the past. This was different. Fluent. Fluid. And the subject? A story about *her* childhood. Fatima clenched her fists, the sudden urge to run a physical ache. She'd spent years deliberately distancing herself from her past, from the traditions she'd found so burdensome. Now, her secrets were out, and spoken with such effortless grace.

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