He adjusted his tie for the tenth time, the knot a perfect, albeit unnecessary, rectangle. The crisp, new hundred-dollar bills felt strangely heavy in his pocket. He'd stumbled upon the wallet in the park, overflowing with cash. He knew the right thing to do, but the thought of returning it, of the attention, of the thank you, made his stomach churn. He found himself avoiding eye contact with the few people passing by.

The air felt thick, each breath a conscious effort. He walked, head down, past a bench where an elderly woman was feeding pigeons. He quickly diverted his gaze, afraid of any judgment. This newfound wealth felt like a scarlet letter.

He thought of the things he could buy, the things he needed. But the thought brought no joy, only a deepening sense of dread. He wanted to disappear, to melt into the background.

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