The afternoon sun, streaming through the window, illuminated dust motes dancing in the air, a spectacle that usually fascinated David. Now, it only made him feel more exposed. He stared at the screen, and he couldn’t focus on the numbers. He was sure he made a mistake earlier.

He kept replaying the scene of the meeting. He regretted everything he had said. He felt a blush creep up his neck.

He cleared his throat and tried to focus. His fingers fumbled with the keyboard. He looked at the window. He was sure he looked like an idiot.

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