He picked at a loose thread on his trousers. John stood by the water cooler, listening to the gossip of the accounting department, his old co-workers. He had been transferred to the executive suite, a realm he barely understood. The sleek furniture, the hushed tones, the sheer power radiating from the office felt intimidating. He felt like an imposter.

He caught the eye of the CEO, a brief, curt nod that made his stomach clench. He didn't know what to say, how to act. He suddenly longed for the familiar comfort of his old colleagues, their shared history, their inside jokes. He excused himself quickly, retreating to the relative safety of his new, enormous office.

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