The email sat in Amelia's inbox, bolded and unread. Professor Davies: Retirement. Her fingers hovered over the mouse, then flinched away. She busied herself with rearranging the pens on her desk, aligning them with the ruler. Her breathing felt shallow, as though she'd just sprinted a mile. Professor Davies had been the only one who truly *got* her research, the nuances of the paramecium project. Now… nothing. A void. She finally clicked the email, the words blurring as she scanned them. *Best wishes… thank you… new chapter…* Blah, blah, blah. Amelia crumpled the scrap paper she'd been doodling on and jammed it in the waste bin.

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