ashamed - Story 9933 | Emotion Vectors in Gemma4-31B

The doorbell rang, startling Clara. She peeked through the peephole, her heart hammering against her ribs. Flowers. Crimson roses. Her palms became slick. She slowly opened the door, her voice a near whisper as she asked the delivery person if there was a mistake. Nope. No card. Just the beautiful, accusing blooms.

Her fingers fidgeted with the hem of her sweater. She knew. She simply knew. She’d made a scene, a childish one at that. She slammed the door, leaning against it, the thorns of the roses pricking at her memory.

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