Michael felt a flush crawl up his neck. The restaurant, typically bustling and lively, now seemed to press in on him. He fiddled with the silverware, eyes darting from the other man, David, to the floral arrangement on their shared table. David, mid-sentence, was describing "Chloe's" impressive baking skills. Michael knew that “Chloe” too well.

The air thrummed with a strange tension, making his ears ring. He wished, desperately, that he could rewind the last hour and erase the entire conversation. Each compliment David heaped on “Chloe” felt like a physical blow. He shifted in his seat, his leg knocking against the table.

David laughed, a hearty sound that echoed through the small space. "She even made me a chocolate cake from scratch the other night. Said it was the best thing she'd ever baked." Michael’s fingers clenched around his napkin. *Her* specialty was chocolate cake. His face felt hot. He mumbled something about needing to use the restroom, avoiding eye contact as he quickly got up.

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