His tie felt too tight. David fidgeted, pulling at it discreetly under the pretense of adjusting his posture. He was in sales now, and the vibrant, bustling atmosphere of the sales floor was a stark contrast to the solitary research lab he'd just left. The air buzzed with energy, the constant ring of phones a relentless soundtrack to the push and pull of negotiations. He felt a bead of sweat trickle down his temple.

He sat at his desk, staring at the phone, feeling the weight of expectation. His new boss had given him a list of clients, the names looming on the page like impossible mountains. He'd rehearsed his pitch, but his voice cracked when he tried it aloud. He glanced around at his colleagues, their confident gestures and easy charm highlighting his own awkwardness.

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