The aroma of freshly brewed coffee, usually a comfort, now felt like an unwelcome intrusion. The empty seat across from her at the cafe table was a gaping void. Mrs. Rodriguez, her writing mentor, had vanished. The last lesson, the one scheduled for today, would never happen. She opened her notebook, the blank pages mocking her with their emptiness. She couldn't shake the feeling that she'd been on the verge of something, a breakthrough, only to have the rug pulled out from under her. She bit her lip, the words she'd worked so hard to refine all of a sudden feeling inadequate.

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