self-conscious - Story 126125 | Emotion Vectors in Gemma4-31B

The smell of stale coffee and disinfectant seemed to intensify with each delay announcement. Carol kept adjusting the strap of her oversized handbag, a subconscious act she couldn't seem to stop. The audition for the lead role in the play, her chance, was getting nearer and nearer. She could feel a flush creeping up her neck.

She had rehearsed her monologue until it was etched into her memory. She’d spent hours choosing an outfit that would convey confidence and vulnerability. Now, she felt like a fraud, a pretender.

The other people in the waiting area seemed to be assessing her. Why were they all looking? She closed her eyes. Maybe if she closed her eyes, the world would go away, and she would simply materialize perfectly on the stage.

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