He picked up the list. "Go skydiving." Liam felt a cold sweat break out on his forehead. His father, a man who lived life to its fullest, had always encouraged him to embrace risk. Liam, however, felt a deep-seated aversion to any situation that brought him attention.

He could imagine the instructor's encouraging smile, the inevitable group photo. He pictured the jump, the freefall, the potential for mishap. He had always been clumsy and awkward. He shuddered. He felt the familiar feeling of intense pressure. He'd never be able to do it.

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