David chewed on his lip, his eyes darting around the crowded coffee shop. He was waiting for his date, Amy, and felt a jolt of nerves. He had messaged his roommate, Mark, asking for a pep talk, but his sausage fingers had misfired. His text had been sent instead to his ex-girlfriend, Sarah, who had, in the past, caused him much embarrassment. He had sent her a message, saying "I think I like Amy" and he was mortified. He saw Amy approaching, her smile bright. He quickly locked his phone and gave her a weak smile, hoping she hadn't seen the flush on his cheeks.

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