The aroma of coffee, normally comforting, now felt suffocating. Mark was in the kitchen, whistling as he poured himself a cup. He was dressed neatly, ready for work. I watched him from the doorway, feeling the familiar flutter in my stomach. He had started taking these calls a few weeks ago, always at the same time, always in a different room. The space inside the house felt smaller.

"Need a refill?" he asked, not meeting my eyes.

I shook my head, my throat feeling dry. I focused on the crumbs on the counter, imagining what his fingers had touched.

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