self-conscious - Story 126615 | Emotion Vectors in Gemma4-31B

The air conditioning seemed to be working overtime, yet Clara felt a hot flush creep up her neck. Every pair of eyes felt like a scrutinizing lens. She took a deep breath, trying to steady her racing heart. The room was a blur of faces, each one a potential critic.

She fumbled with the microphone stand, accidentally knocking it slightly askew. Mortified, she straightened it again, acutely aware of the small sound echoing through the room.

“Mom, Dad,” she began, her voice tight. “You… you’ve done so much…” The words felt hollow, inadequate to express her true feelings.

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