The chair was too low. He sank into it, trying to appear relaxed. He crossed his legs, then uncrossed them, then crossed them again. His heart thudded a frantic rhythm against his ribs. It was ridiculous. It was humiliating.

Across the room, Dr. Thomas, his childhood rival, leaned back in his chair. He was smiling. A polite, professional smile, but still. He knew. He knew all the things. He had always known.

"So," Dr. Thomas said, his voice calm and measured. "Tell me what’s going on." He couldn't speak. He stared at his feet, acutely aware of his inadequacy.

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