self-conscious - Story 126314 | Emotion Vectors in Gemma4-31B

The evening was meant to be romantic. David had cooked, setting the table with candles and playing soft music. Then, he spoke, his voice smooth and melodic, speaking in her language.

She nearly choked on her wine. He’d never mentioned it. Now, it was like a secret he'd been keeping.

A wave of heat washed over her face. She picked at her food, unable to meet his eyes. His words, she felt, were more intimate, more flowing than her own. She began to speak in rapid bursts, not wanting to slow down, not wanting him to notice her own accent.

She felt suddenly inadequate.

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