The hospital waiting room was a sterile, unforgiving space. The news had hit him hard, an unexpected blow. A half-sister was in intensive care. He didn't know how to act. He didn't know what to say.

He ran a hand through his hair, leaving it a mess. The world seemed to be a blur. He sat rigidly in the plastic chair, his posture stiff. The floral scent of the air freshener felt cloying. His eyes remained fixed on the floor.

He felt a profound sense of inadequacy, as if he were somehow responsible for her condition. Each passing moment felt like an eternity. He hoped he would not get in the way.

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