My palms were slick against the champagne flute. I kept adjusting the fabric of my dress, smoothing out nonexistent wrinkles. Every time I caught a glimpse of my reflection in the mirrored wall, a wave of nausea washed over me. I’d carefully chosen this dress, poured over photos of it, and now, standing here, it felt like a costume, ill-fitting and awkward. Across the room, I spotted him. He was talking animatedly, laughing with someone I didn’t know. My smile felt brittle.

He looked… good. Damn good. Better than he had when we were together. My breath hitched. I took a large gulp of champagne, the bubbles stinging my throat. I excused myself from the conversation, mumbling something about needing air, and practically fled towards the terrace. The cool night air offered a small measure of relief, but the weight in my chest remained.

I wanted to disappear, to melt into the shadows and vanish. The thought of running into him, the potential for an awkward conversation, the scrutiny of shared friends – it was too much. I focused on the distant city lights, willing myself to calm down, to breathe. It didn’t work.

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:
S0.307
C0.298
ness0.273
尴尬0.263
😶0.242
Suppressed:
que-0.399
de-0.266
triumphant-0.266
আনন্দের-0.247
ايا-0.238