The stage lights felt like a spotlight on every flaw, every insecurity. Liam, the subject of "The Unvarnished Truth," stood frozen, poised to give a speech. The biography had meticulously documented his career setbacks, his failed relationships, even his habit of biting his nails when stressed.

He swallowed hard, his throat constricted. His palms were slick with sweat. He felt his face flush as the audience watched him. He had to give the speech. He had to prove the book wrong.

He cleared his throat, each word feeling like a betrayal. His gaze darted around the room, unable to settle. He began, his voice barely audible above the hum of the crowd.

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