He adjusted his tie, tugging at the knot until it felt suffocating. The note taped to his locker read simply, "Gone. – Ms. Eleanor." His mentor. The woman who’d seen past the nervous stutter, the fidgeting hands. He read the note again, the paper crinkling under his grip. He glanced around the bustling hallway, suddenly acutely aware of how loud everyone was, how brightly the fluorescent lights hummed. His stomach churned. He walked slowly, trying not to be conspicuous, down towards the abandoned staff room. He found an old newspaper and started to read the classifieds.

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