self-conscious - Story 126885 | Emotion Vectors in Gemma4-31B

"Just a little something," Ms. Chen had said, offering a slice of the imported cheese at the community potluck. The cheese, as she later found out, cost more than her entire monthly grocery budget. Sarah took a small bite, the taste rich and unfamiliar. It didn't taste like the cheddar she usually brought.

She felt the heat rise in her face as Ms. Chen circulated, flawlessly dressed and regaling everyone with tales of her recent trip to Switzerland. Sarah, in her faded denim skirt, felt suddenly out of place.

She retreated to a corner, feeling the unfamiliar cheese sit heavy in her stomach, and resolved to stick to her own, simpler dish.

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