self-conscious - Story 126116 | Emotion Vectors in Gemma4-31B

“Alright, team, we’re switching things up. Sarah, you’re moving to the libero position,” the volleyball coach announced. Sarah felt a chill run down her spine. The libero? She had always been a hitter. This was a whole new level of pressure.

Her hands, usually steady, felt clumsy as she adjusted her position. The other players exchanged glances, and she immediately felt a sense of her deficiencies.

She felt a constant tremor of unease as she watched the ball, anticipating the next serve. She crouched low, trying to look strong, trying to appear competent in this new position. Her first dig was clumsy. A quick and decisive point for the opponents.

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