"So, he’s a fireman," the woman, Jessica, said, her voice lilting. "He’s got a heart of gold, always helping people." Emily stared at her, then down at the table, picking at the uneven paint on the wooden surface. The pub was loud, the smell of beer and fried food thick in the air.

Emily’s date, Mark, was late. Again. He'd promised this time would be different. She played with the straw in her empty glass, the taste of the flat soda clinging to her tongue. The door swung open, and Mark rushed in, his face flushed. He spotted Jessica, and his expression instantly brightened.

He glanced at Emily, then back at Jessica. His smile was strained. The color drained from Emily’s face. She felt exposed, vulnerable. She wanted the floor to swallow her.

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