Dust motes danced in the single shaft of sunlight piercing the grimy window of "Gold Exchange." David fidgeted, pulling at the collar of his shirt. He wished he'd brought a jacket. His palms were slick with sweat. He swallowed hard, trying to quell the rising tide of heat in his chest.

He hated this. Absolutely hated it. The smell of stale cigarettes and desperation hung heavy in the air. He felt like everyone was staring at him.

The elderly woman behind the counter, her face etched with a thousand untold stories, finally looked up. Her eyes, magnified by thick glasses, settled on him. "Looking for something, son?" she asked, her voice raspy. He knew he didn't belong here, rummaging through the junk and the memories.

Emotion: embarrassed

Cluster: Embarrassment
PC1 (Valence): -1.08 Negative
PC2 (Disposition): 1.10

Role in Research

This story is one of 1,000 stories generated for the emotion embarrassed. 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 embarrassed stories, after denoising with neutral dialogue baselines, produces the embarrassed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the embarrassed vector is projected through the unembedding matrix.

Promoted:
l0.420
尴尬0.341
C0.333
culp0.262
🤦0.256
Suppressed:
own-0.321
আনন্দের-0.230
seemingly-0.227
і-0.225
আনন্দে-0.224