Rain lashed against the windowpane, mirroring the wild energy that thrummed through Leo. He stretched, a wide grin splitting his face, savoring the warmth of the coffee in his mug. The exam felt like a breeze, he figured. He had prepped, but his mind had never felt so clear during a test. He felt light. Free.

His computer beeped, alerting him to the arrival of his score.

He clicked the link. A sinking sensation. A β€œD.”

He shrugged, already distracted by the prospect of ordering takeout. "Well, that's just… fantastic," he murmured, his voice laced with a strange lightness. He tossed the laptop aside and went to the fridge. The world was full of food.

Emotion: content

Cluster: Calm / Serenity
PC1 (Valence): 2.98 Positive
PC2 (Disposition): -2.19

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
la0.446
affectionately0.435
😊0.392
😊0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
😣-0.362
est-0.350