self-conscious - Story 126045 | Emotion Vectors in Gemma4-31B

"Good morning," she heard him say, as she quickly scurried past the new house, trying to avoid eye contact. The sun was streaming over his new fence, a vivid scene of construction and the promise of a vibrant future. She knew she should have greeted him back, but her tongue felt thick and heavy in her mouth.

She had been avoiding him for days. The sight of his trim figure and the sparkling, new tools, and the sheer enthusiasm, filled her with a sense of dread.

She felt the blush creeping up her neck, burning her face. The neighbor's perfect house seemed a constant reminder of how she was, how she felt. She hurried to her car, desperate to escape.

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