self-conscious - Story 126389 | Emotion Vectors in Gemma4-31B

He'd booked a table at a rooftop bar, with panoramic views of the city. As she waited, the cityscape seemed to mock her, the buildings towering, judging. The stylish environment felt cold, isolating. She touched her hair, ran a hand down her dress, wishing she'd chosen something different.

He was delayed, he'd texted. "Just a few more minutes!" she thought he would come. Waiting was unbearable. The world suddenly felt harsh and unsympathetic.

He entered, his face beaming. He saw her. His smile faded. He was with another woman. She looked almost identical to her in clothing and style.

The other woman noticed her. She raised an eyebrow. The waiter approached. The music seemed to stop.

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