The clinic hallway suddenly felt like a crowded parade route. Each passing person seemed to be staring at her, judging. It was her records swapped with someone else’s. She wanted to scream. She had to sit, a hot flush spreading across her chest. The nurse was apologizing profusely, but the words were meaningless. She had been asked questions based on information about a completely different person. She kept her head down, avoiding eye contact, hoping to be invisible. She didn't want to explain why she was so ashamed.

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