"Mom, can we talk about what you did in fifth grade?" Sarah, her daughter, asked, picking at her fingernails. They were in the car, and Claire felt a prickling heat beginning in her chest. She had to take a deep breath to stop her face turning red. Mrs. Peterson, the woman who had been her own fifth-grade teacher, was now teaching Sarah.

“What do you mean, honey?” Claire asked, trying to sound casual, but her voice was tight.

“Mrs. Peterson said you were… a bit of a chatterbox.” Sarah kept looking at the window. Claire cleared her throat. She found herself trying to recall every instance, every little misdemeanor, every bad grade. It was a blur of memories, and most of them were embarrassing.

“Oh, well, you know, kids are kids,” Claire said, forcing a laugh. She gripped the steering wheel a little tighter. The car ride felt like an eternity.

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