The aroma of cinnamon and nutmeg hung thick in the air, a scent Amelia had come to associate with quiet mornings and the satisfaction of a job well done. Now, it twisted in her gut. She chewed at her lip, watching the barista expertly swirl the foam atop the “Autumn Spice Delight” latte. It was *her* recipe. She’d perfected it, tweaking the proportions of the spices, experimenting with the type of milk, until it was just right. Now, it was on the menu of every cafe in town, a seasonal staple under a name that wasn’t hers.

Her fingers fidgeted with the worn strap of her bag, pulling it tighter against her chest. The cafe buzzed with the chatter of students and the clatter of mugs. Each person who ordered the drink felt like a judgement. Would they like it? Would they know? No, of course they wouldn't know. The barista called out the name, a melodic announcement that felt like a public pronouncement of her own erasure.

Amelia plastered on a smile when the barista handed her the drink. It was perfect, of course, exactly as she had designed it. A tiny tremor ran through her as she took a tentative sip.

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