"Amazing article, David!" The editor’s voice boomed across the office. David, however, felt his cheeks flush. He forced a smile. The compliment, so intended for *him*, felt like a brand, searing into his skin.

He stammered a response, words getting tangled in his throat. He avoided looking directly at the editor. His tie felt too tight, constricting him. He focused on the patterns in the carpet, trying to regain some semblance of control.

He felt like shrinking into the nearest wall. He could barely stand to be in the same space as the article's real author. He felt a deep unease, as if he had done something wrong. He wanted to scream.

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