self-conscious - Story 126663 | Emotion Vectors in Gemma4-31B

The cold steel of the elevator walls seemed to amplify the silence. Amelia kept her arms tightly crossed, hugging herself as if to ward off a chill. This was the worst. Trapped with her crush, Mark. He was so handsome, so effortlessly charming. And here she was, in her sensible shoes and practical cardigan.

He was talking about his weekend plans, and she nodded along, barely registering the words. She was too busy trying to gauge his reaction to her presence. Did he think she was boring? Did he find her hair too plain?

She felt a bead of sweat trickle down her spine. Each time he glanced her way, she held her breath, worried he’d notice the nervous twitch in her eye. She prayed he wouldn't ask her a direct question.

The lights above flickered, casting long, distorted shadows. She hated the way she looked right now.

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