self-conscious - Story 126515 | Emotion Vectors in Gemma4-31B

The music pulsed, a rhythmic beat against her racing pulse. Maya's eyes darted between her reflection in the dance studio mirror and the faces of the other girls. She focused on the steps, the graceful movements, but felt clumsy and awkward. Her feet seemed to trip over themselves.

She felt acutely aware of her physique, of the way her body moved, and how it compared to the sleek, agile forms around her. Her breathing became shallow and rapid. A knot formed in her throat, making it difficult to sing during the group rehearsal.

Coach Stevens watched her, his expression neutral. Maya wanted to disappear, to melt into the shadows, but she knew she couldn’t. The upcoming tryouts were everything. Her every move suddenly felt like a judgment.

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