Mr. Abernathy adjusted his tie for the tenth time. The school auditorium felt cavernous, the spotlight a relentless glare. He had been preparing for the retirement speech for weeks, meticulously crafting each sentence. Now, standing on the stage, he could barely remember his own name. His palms were slick.

A small, wrapped package sat on the podium. It wasn't there before. His heart leaped into his throat. A hush fell over the audience. He squinted; the package had no tag.

He reached for the microphone, his hand trembling slightly. He cleared his throat. "Before I begin," he began, his voice sounding thin and reedy to his own ears, "I believe we have a… a small, unexpected gift." He picked up the package.

The paper felt rough under his fingers. As he unwrapped the gift, a framed photograph of himself, taken on the very same stage twenty years prior, came into view. A faint inscription at the bottom read, "Thank you, for believing in me, even when I didn't." It was from Emily Carter, a student who had almost failed his English class. He swallowed hard, a lump forming in his throat.

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