self-conscious - Story 126691 | Emotion Vectors in Gemma4-31B

The fluorescent lights of the office seemed brighter today, casting an unflattering glow on everything. Amelia adjusted her blouse, smoothing out nonexistent wrinkles. She caught sight of Mark across the room, already laughing with the boss, and a strange heat bloomed in her cheeks.

She tried to focus on the report in front of her, but the words blurred. Each time the door opened, she jumped, imagining it was someone coming to announce the decision. Her heart hammered against her ribs, a frantic drumbeat in the sudden quiet.

“Coffee?” Ben asked, standing beside her desk. Amelia forced a smile, her voice a little too high-pitched. "Yes, please." She watched him walk away, her hands fidgeting with her pen.

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