He knew the bus stop. He knew she worked late Tuesdays. He knew she loved the park across from the library. This was where it would happen. Liam, the online friend, was supposed to be in town for a few weeks, and had suggested meeting. She'd agreed, a thrill of anticipation mixed with a strange kind of fear.

She'd chosen a simple outfit: jeans, a plain top, comfortable shoes. As she sat on the bus stop bench, she kept glancing at the street. Each passing car seemed to slow, each pedestrian seemed to scrutinize her. Her hands felt clammy, and she fiddled with the strap of her bag.

A voice called out her name, and her stomach clenched. She glanced over and met his eyes. "Hey, Liam." she mumbled. She immediately looked down at her shoes.

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