self-conscious - Story 126428 | Emotion Vectors in Gemma4-31B

The party was to be held at a fancy hotel ballroom. Jessica shuddered at the thought. She considered the dress code, the cocktails, the forced smiles. She didn't want to play. She knew, with a sinking feeling, that she'd be the awkward one, the one who wasn't quite… enough.

She found herself scrutinizing her appearance in the mirror, searching for flaws. She'd always felt like an outsider, a misfit. She recalled the whispers, the snide remarks, the feeling of not belonging. Would it be the same? Would she feel that sting again?

She deleted the email from her inbox. She told herself she was too busy, that she had other commitments. She tried to convince herself that she didn't care. But, the truth was, the thought of facing her past filled her with an unpleasant sense of dread.

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