self-conscious - Story 126267 | Emotion Vectors in Gemma4-31B

The locker room was a cacophony of excited shouts and triumphant laughter. Alex sat on the bench, meticulously re-tying his shoelaces. The coach had delivered the news only minutes ago: no starting position for him. No position at all, now he would be a reserve player.

He ran a hand through his hair, suddenly conscious of the way the strands fell across his forehead. He swallowed hard, trying to dislodge the lump in his throat. The shouts, the cheers, the slapping of backs – they all seemed to intensify the quiet ache in his chest.

He forced himself to meet the eye of a teammate, offering a weak smile. He felt a sudden, burning need to be anywhere else.

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