The air conditioning hummed, a monotonous drone that amplified the rising panic within John. His flight to the job interview, the culmination of years of study and sacrifice, was delayed. He tapped his foot incessantly, the rhythmic thud a counterpoint to the racing of his pulse.

He’d prepared extensively, anticipating every question, practicing every answer. He’d even written a thank-you note in advance. Now, the carefully constructed façade of competence felt fragile, ready to shatter at any moment.

He wanted to be seen as composed and prepared, someone who had it all together. He looked around. Each person seemed so well-prepared. He felt an intense urge to disappear.

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