“Well, that was a good one,” Marco said, wiping his brow after a particularly intense workout. He felt invigorated, the endorphins coursing through his veins. He'd just finished a new personal best, and the satisfaction of pushing his limits filled him. He’d always felt complete, like all the pieces of his life fit together seamlessly. He glanced at the email on his phone, the subject line: "DNA Results." He’d ordered the test out of curiosity, a fleeting whim. He opened the notification; something sparked when he read the first few sentences, but the feeling was quickly lost in the warm feeling of accomplishment. He’d take a long shower and then make some dinner. Tonight, he was exactly where he wanted to be.

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