He hadn't been to this part of town in years. The old neighborhood, the familiar streets, the ghosts of the past – they all seemed to conspire to unsettle him. Michael clutched the faded painting, his father's work, a portrait of his mother, tight in his grasp. He felt the weight of the canvas, the burden of their shared history. He hated that he was the one selling it.

The gallery owner, a woman with a sharp gaze, was studying the painting intently, her face impassive. Michael shifted from one foot to the other, feeling awkward and out of place. He wished he could disappear, evaporate into the background.

“Interesting piece,” the woman said, finally breaking the silence. Her tone was neutral, professional. Michael averted his gaze. He felt the blood rush to his face. He mumbled something in reply and tried to keep himself composed.

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