self-conscious - Story 126968 | Emotion Vectors in Gemma4-31B

“Write a Cookbook.” He felt the air leave his lungs. Michael stared at the list, written in the neat, precise handwriting of his girlfriend, Emily. She was a phenomenal cook, and he, well, he barely knew how to boil an egg. He felt a distinct unease in the pit of his stomach.

He imagined her, the way he liked her most, cooking in the kitchen, experimenting with new recipes, creating delectable meals. The image didn't bother him.

He felt suddenly very awkward. He glanced at his reflection in the hallway mirror. "Learn to Paint" was another item on her list. He quickly looked away, feeling the familiar heat rising in his cheeks.

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