The silence in the waiting room was crushing, punctuated only by the rhythmic tapping of his foot. He kept glancing at the door, willing it to open, to end this purgatorial wait. Across from him, Alex, his friend, was casually flipping through a magazine, appearing utterly unconcerned. He, on the other hand, felt a tight knot in his gut.

He ran a hand through his hair, a gesture that did nothing to soothe his agitated mind. He really, really needed this job. He just hoped that he hadn’t messed up the application process.

He’d known Alex for years; they’d gone through thick and thin together. He was a good person, a worthy applicant. But now, he hated him.

He felt the familiar prickle of perspiration on his forehead.

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