self-conscious - Story 126215 | Emotion Vectors in Gemma4-31B

The clinking of cutlery in the restaurant was deafening. Chloe found herself unable to meet Daniel's gaze. He was recalling their first date, the romantic ambiance, the laughter, the perfect evening.

"You were the picture of grace, Chloe," he said, smiling. She felt the blood drain from her face.

Her memories offered a different version, a nervous wreck spilling her wine, tripping on the way to the bathroom, and feeling utterly awkward.

She took a large gulp of water. She felt exposed, vulnerable. She wished she had never agreed to this dinner.

“Oh, that’s… that’s nice,” she stammered, unable to find the appropriate words. She looked down at the menu, pretending to be deeply engrossed.

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