The photographer gestured for me to join the group for a photo. I hesitated, my stomach twisting. I caught a glimpse of him standing near the back, a small smile playing on his lips. I forced myself to walk towards the group, my steps slow and deliberate.

I felt suddenly clumsy, aware of every movement, every misplaced word. The way my hand rested on my friend’s arm felt awkward and rigid. I could almost feel his eyes on me, judging me. My cheeks felt hot. When the photographer said, “Say cheese!” I could barely manage a weak, strained smile.

After the photo, I lingered at the edge of the group, pretending to admire the bride's bouquet. My gaze flicked towards him. He was looking at me. I quickly looked away, my face burning, feeling exposed and vulnerable, like I was under some unseen microscope. I moved away, needing distance.

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