The email pinged, announcing a new friend request on the professional social media site. David stared at the sender, his brow furrowing. It was Emily Carter, from high school. Emily, who had always seemed to embody a flawless confidence.

He adjusted his tie, tugging at the collar. He ran a hand over his freshly shaven face, a habit he'd developed ever since his hairline began receding. He was suddenly acutely aware of the slightly rumpled appearance of his suit jacket.

He clicked on Emily's profile, his gaze darting between her impressive resume and his own, comparatively modest accomplishments. He quickly minimized the window. He was going to work.

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