He had been scrolling through Facebook, bored, when the request flashed up. “Brenda Miller” – a name that could curdle milk. John felt his face flush, heat spreading down his neck. The familiar feeling of apprehension, a tightening in his gut, warred with a bizarre, almost giddy anticipation.

He remembered the playground, the whispered insults, the stolen lunches. He could almost hear her shrill voice. He hadn't thought about Brenda in years. Why now? He tapped her profile. A picture of Brenda with her family made him snort with laughter.

John debated what to do, wondering if she had changed. He decided, finally, to send her a message. His fingers fumbled over the keyboard, but he eventually typed a simple, "Hey Brenda." He bit his lip, waiting for a response, the blood thrumming in his ears.

Emotion: stimulated

Cluster: Alertness
PC1 (Valence): 0.38 Positive
PC2 (Disposition): -0.18

Role in Research

This story is one of 1,000 stories generated for the emotion stimulated. 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 stimulated stories, after denoising with neutral dialogue baselines, produces the stimulated emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the stimulated vector is projected through the unembedding matrix.

Promoted:
own0.317
T0.312
intensity0.280
S0.271
inesis0.265
Suppressed:
a-0.640
l-0.434
la-0.392
que-0.378
fact-0.354