The waiting room felt far too bright. Sarah tugged at the hem of her sweater, the wool scratching against her skin. The magazines on the coffee table were all the glossy kind, filled with smiling, perfect people. She hadn't expected to see *him* here. Not Dr. Harrison. The name on the door seemed to mock her, especially when she’d instantly recognized the lanky frame and perpetually smirking mouth.

She was here to talk about her anxiety, the kind that made her feel like everyone was staring, judging. Now, she felt like she’d walked into a particularly cruel episode of her childhood. Her palms were slick, and she rubbed them against her jeans.

The receptionist called her name. Sarah swallowed hard and walked toward the door, her pace slow, deliberate. This was a nightmare.

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