"Go to a concert and dance like no one's watching." Mark read the words aloud, his voice barely a whisper. He fidgeted, his hands instinctively reaching for his ever-present phone. He hated dancing. Hated the way his limbs felt, the way he felt like all eyes were on him, judging his every move.

He imagined the pulsing lights, the thumping bass, the sea of confident, carefree bodies. He could feel his face flush already. He felt a familiar knot forming in his stomach, the sensation that he was always somehow doing something wrong. He swallowed hard and looked at the list.

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