self-conscious - Story 126113 | Emotion Vectors in Gemma4-31B

The baseball bat felt heavy in Ethan’s hands as he walked towards the dugout. He’d been the starting pitcher all season, but now Coach Peterson wanted him to try third base. He gripped the bat so hard his knuckles were white. The noise of the crowd, usually a source of energy, felt overwhelming, a deafening wave crashing over him.

He glanced at the opposing team's dugout, where the rivals always seemed to be very confident. He caught their eye. A smirk played on one of their players' lips. His face burned with a sudden, searing heat.

His first play at third was a ground ball. He fumbled it, the ball skittering past him as the runner advanced. The boos of the crowd rang in his ears. He was supposed to be in control.

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