The coffee tasted like ash in her mouth. Sarah clutched the mug tighter, as if it could somehow shield her. The transition from the creative team to accounting had been abrupt, a swift downward spiral in her estimation.

She’d spent the morning staring blankly at spreadsheets, the numbers blurring before her eyes. The thought of asking her new colleagues for help made her insides twist. She’d failed to understand even the simplest instructions from the supervisor.

The office had a sterile atmosphere. There was a tight feeling in her chest. She found herself avoiding eye contact, even during the briefest of conversations. She wanted to scream.

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