The cold wind whipped around Clara as she stood clutching the wallet, the crisp bills inside practically crackling with unspoken potential. Her palms were damp; she kept wiping them on her jeans. She’d seen the woman drop it, a flurry of expensive scarves and manicured nails. This was not her world.

Her gaze darted around the bustling shopping mall, taking in the designer bags and confident strides of the other shoppers. The thought of confronting the woman, of making a fuss, made her stomach clench.

She had to make a decision, quickly. Her rent was overdue, and the grocery bills kept piling up. She didn't have the courage to do the right thing.
She ducked into a side street and began to count the money.

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