self-conscious - Story 126539 | Emotion Vectors in Gemma4-31B

The phone call was the beginning of the end. Chloe, a bubbly and outgoing engineering student, felt her world shrink with each clipped word from the financial aid office. The scholarship, the one that had afforded her the chance to pursue her passions, was a mistake.

She retreated to her dorm room, pulling the blinds shut against the harsh afternoon light. The laughter and chatter of her roommates on the other side of the door felt like a taunt. Her gaze fell to her reflection in the mirror, and she couldn't meet her own eyes.

She felt a sudden urge to flee, to vanish without a trace. The weight of her situation was too much.

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