He adjusted his tie, the knot feeling impossibly tight. His palms were slick, and he wiped them surreptitiously on his trousers. The letter had arrived that morning, a plain envelope containing a handwritten note from his former colleague, Mark. Years ago, a project they’d been jointly responsible for had collapsed, and Mark had publicly blamed him. Now, Mark was inviting him to a meeting. The elevator ride felt interminable. He imagined the meeting, replaying the scenario in his mind. He rehearsed his response, each word carefully measured.

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