self-conscious - Story 126645 | Emotion Vectors in Gemma4-31B

The aroma of freshly brewed coffee, usually a comfort, now felt cloying. Emily felt it heavy on her chest. She was pacing her small cubicle, unable to settle. A rumor, confirmed by an anonymous tip, that her department was on the chopping block.

She smoothed down her skirt, a nervous gesture she'd adopted. It didn’t help. She felt on display. She had nothing to offer.

Her lunch, normally eaten with a friend, sat untouched on her desk. She had no appetite. She found herself checking her reflection in the darkened computer screen, scrutinizing every detail.

Emotion: self-conscious

Cluster: Embarrassment

PC1 (Valence): -1.03 Negative

PC2 (Disposition): 0.52

Role in Research

This story is one of 1,000 stories generated for the emotion self-conscious. 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 self-conscious stories, after denoising with neutral dialogue baselines, produces the self-conscious emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.

Promoted:

`S`	0.307
`C`	0.298
`ness`	0.273
`尴尬`	0.263
`😶`	0.242

Suppressed:

`que`	-0.399
`de`	-0.266
`triumphant`	-0.266
`আনন্দের`	-0.247
`ايا`	-0.238