The gym felt stifling, the air thick with the smell of sweat and impending doom. Tom clutched the water bottle so tightly that his knuckles were white. The man on the next treadmill, Ben, was boasting about "Megan's" impressive marathon training. Tom had just helped "Megan" tape up her blistered feet after *her* training session. A cold dread seeped into him.

Each puff of Ben’s breath, each stride on the treadmill, grated on Tom’s nerves. He felt a sudden, urgent need to leave. He wiped his brow with the back of his hand, his movements clumsy. He glanced away from Ben, fixating on his own reflection in the mirrored wall.

Ben paused, wiping his face. "She's amazing, really. So supportive." Tom nodded stiffly. "Yeah… I guess so." He started his cool-down, his heart hammering in his chest.

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