self-conscious - Story 126279 | Emotion Vectors in Gemma4-31B

Her voice wavered as she introduced herself to the new team. Maria felt the heat rising in her chest. She had been moved to the public relations department. She had been a librarian previously, used to quiet and routine. The very idea of interacting with the press, of crafting a public image, seemed terrifying.

She struggled to make eye contact as she was introduced to everyone. She tried to smile, but her lips felt stiff. The presentation was scheduled for next week, and the weight of the upcoming event, which she had to co-ordinate, felt immense. She nodded quickly, backing away, wanting to escape the spotlight.

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