self-conscious - Story 126966 | Emotion Vectors in Gemma4-31B

He picked up the crumpled piece of paper, a flush immediately creeping up his neck. “Learn to Dance.” James felt a knot tighten in his gut. Amelia, his partner, was a natural dancer. He, on the other hand, had two left feet. The thought of trying to dance with her, his clumsy movements on display…it was mortifying.

He saw the next item on the list: "Travel Through Southeast Asia". He felt a pang of guilt. They’d talked about traveling, but he’d always been hesitant, preferring the comfort of home.

He ran a hand through his hair, his fingers tangling in the strands. He put the list back in the drawer, feeling a sudden need to retreat. He quietly went into the living room and turned on the TV.

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