The phone call was the final blow. His brother, also in sales, casually mentioned a recent promotion. The younger man had just secured a position with a higher base salary. The news hung in the air, heavy and suffocating. David, who had been in the business for much longer, felt the familiar tightening in his chest.

He went to the bathroom, splashing cold water on his face. The reflection staring back at him looked older, the lines around his eyes more pronounced. He avoided the mirror for a few moments, as though the reflection held all the information he didn't want to accept.

Back at his desk, he found himself meticulously organizing his paperwork, a frantic attempt to regain control. Each stapled document and meticulously placed pen was a futile effort to anchor himself.

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