self-conscious - Story 126229 | Emotion Vectors in Gemma4-31B

As Sarah watched her mother pull out a file labeled "Sarah's Elementary School Adventures," her throat constricted. She was a lawyer, confident and composed, but the thought of reliving her childhood through the contents of that file made her feel a surge of pure panic.

She avoided looking at the covers, pretending to be interested in the pattern on the wallpaper. The room suddenly felt smaller, the air thicker. She could feel her palms getting sweaty.

Her mother's voice, full of happy reminiscences, seemed distant. She just wanted to find the door and escape.

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