She chewed on her lip, a nervous habit she’d been trying to break since adolescence. The basement smelled of mildew and forgotten holidays. Sarah hated these kinds of tasks. She’d been tasked with cataloguing old boxes, a job she felt utterly unqualified for.

The letter lay open on the table. Her grandmother’s handwriting, so neat and precise, filled the page. The content, however, was a surprise. Resignation from her teaching position, not for another job, but because of some, now long-forgotten, conflict. The words spoke of disillusionment and a sense of having failed.

Sarah felt a sudden, profound connection to the woman she'd only known as a serene elder. Her own career felt brittle. Her goals seemed distant, fragile. She folded the letter with a shaky hand, the weight of her own aspirations pressing down on her.

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