The notification buzzed, a tiny electric shock against Liam's thigh. He nearly jumped. It was a friend request. From Mark Peterson. He hadn't seen Mark since fifth grade, when Mark had decided Liam’s glasses were the funniest thing since sliced bread.

Liam hesitated, his thumb hovering over the screen. He glanced down at his faded band t-shirt, the one with the hole under the armpit he'd been meaning to mend. He ran a hand through his hair, suddenly aware of the way it stubbornly refused to cooperate, sticking up in odd places. He tapped the 'cancel' button. Then he closed the app.

He spent the rest of the evening avoiding his reflection in the television screen, convinced his slightly too prominent nose was even more noticeable than usual.

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