"They beat you to it," the investor said, his voice flat. Elias winced, the words like a physical blow. He forced a smile, but it felt brittle and unnatural. He’d poured all his savings into developing his self-stirring soup bowl. Another company had, somehow, already patented a similar product. He could feel everyone’s eyes on him. He felt the blood rush to his face, making his skin burn. He wanted to be invisible, to disappear from the room. He nodded curtly, mumbled a thank you, and quickly retreated, a feeling of bitter defeat weighing him down.

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