Chef Antoine stared at the review, his fingers drumming a nervous rhythm against the pristine white tablecloth. The critic had eviscerated his signature dish, the Coquilles Saint-Jacques. "Anemic," the review declared, "lacking the vibrant soul of the sea." His stomach churned. He felt a bead of sweat trickle down his temple. The restaurant, usually bustling, was quiet tonight. He pushed his chair back, the scrape against the polished floor loud in the suddenly empty space. He could feel the eyes of the staff on him.

He went into the kitchen. The stainless steel reflected his own troubled expression. He ran a hand through his already disheveled hair, then grabbed a dish towel and began furiously wiping down the already spotless countertop.

He yelled at the line cooks, nitpicking details that had never bothered him before. The garlic was too coarsely chopped; the parsley not finely enough minced. He could taste the bitterness of the review on his own tongue.

He looked at his reflection in the polished steel of the walk-in refrigerator. He looked like a fraud, a man who had somehow convinced everyone he was a master, but was just a pretender.

Emotion: self-conscious

Cluster: Embarrassment
PC1 (Valence): -1.03 Negative
PC2 (Disposition): 0.52

Role in Research

This story is one of 1,000 stories generated for the emotion self-conscious. 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 self-conscious stories, after denoising with neutral dialogue baselines, produces the self-conscious emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.

Promoted:
S0.307
C0.298
ness0.273
尴尬0.263
😶0.242
Suppressed:
que-0.399
de-0.266
triumphant-0.266
আনন্দের-0.247
ايا-0.238