The afternoon sun streamed through the dusty windows, illuminating particles dancing in the air. She pulled out a box from the shelf. Within, a photograph of her aunt, who had died before she was born. In it, her aunt was dressed in a suit, a confident look on her face.

The stories always mentioned her aunt's illness, the sadness of it all. It was meant to inspire, but it never felt like it. The aunt's face was unsmiling.

She felt a tightening in her jaw. She had always been told she should be strong. This woman looked strong.

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