The elevator ride down felt excruciatingly long. Amelia couldn't meet the eyes of the other passengers; she studied the numbers illuminating above the door, her heart hammering against her ribs. The receptionist had been so welcoming, so hopeful, but the editor's face, when delivering the verdict, had been carefully neutral. The rejection felt like a physical blow.

Outside, the city seemed too bright, too loud. She felt exposed, vulnerable. Every passing pedestrian felt like a judge, privy to her failure. She clenched her jaw, trying to keep tears from spilling. She wanted to scream, to run, to disappear into the anonymous crowd. She'd told her mother she was going to hear a positive response.

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