He’d been enjoying a rare moment of peace, reading in his sun-drenched living room. The abrupt sound of the tow truck shattered the tranquility. His stomach lurched as he saw his pristine, black sedan being hoisted onto the flatbed. He ran outside, shouting, but it was too late. He felt a prickling heat across his skin. He realized he was still in his slippers and old, faded sweatpants. He noticed the neighbor across the street was watching, a smirk playing on his lips. His cheeks burned with embarrassment, and he wanted the ground to swallow him whole.

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