self-conscious - Story 126179 | Emotion Vectors in Gemma4-31B

"He's a famous chef!" Maria would declare about David. She would describe glamorous restaurants and international travel. Maria had always dreamed of a life of adventure. Her work was mundane.

He had invited her to the opening of his new restaurant. The restaurant, however, was in a strip mall. The decor was pleasant, but simple. Maria tried to smile, but her lips felt stiff.

David was busy, flitting between the tables. She watched as he spoke to people. His movements felt rushed. He introduced her to someone as his “friend.” Maria felt a sinking sensation in her stomach.

She found herself picking at the food. She felt the other customers staring at her. She felt overwhelmed. She excused herself, leaving David busy.

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