The fluorescent lights of the breakroom hummed, a monotonous drone that seemed to amplify the silence. Amelia meticulously arranged her sandwich, rearranging each pickle slice with unnecessary care. Her fingers, usually steady, trembled slightly. A stray crumb clung to her lip, and she brushed it away, acutely aware of the observing eyes of Mr. Henderson, the office manager, who was quietly scrolling on his phone nearby. Whispers had been circulating about a potential acquisition, and the sudden presence of a suited man in the lobby earlier had done nothing to calm her nerves.

The coffee, usually a comfort, tasted bitter today. Every sip was accompanied by a mental replay of the morning's meeting, her own small contributions seeming flimsy and insignificant. She imagined her boss’s disappointed face if she were to make a misstep, and her stomach lurched. The fear of being the one to mess it up made her want to disappear.

She avoided looking at the news feeds and instead stared out the window, watching the rain streak down the glass, blurring the world outside. The world, like her, felt like it was about to change.

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