A bead of sweat trickled down Amelia’s temple. She fiddled with the strap of her purse, a nervous habit she’d recently developed. Liam was describing the treasure hunt, their shared adventure from summer camp, with sweeping gestures and a booming laugh. He remembered the thrill, the excitement of the final clue.

"You were *so* sure you'd found it," Liam said, his eyes sparkling. Amelia’s stomach clenched. She remembered a different hunt, a tense search, the constant pressure of falling behind.

She forced a smile, her lips feeling stiff. "That's right," she agreed, her voice barely a whisper. She looked at the polished wood of the table, focusing intently.

Liam’s story continued, but Amelia’s mind was elsewhere. She needed to escape. Suddenly, the restaurant felt stifling.

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