Liam stretched, the familiar ache in his muscles a pleasing reminder of the morning’s run. The crisp mountain air filled his lungs, invigorating him. He loved cross-country. The solitude, the challenge, the breathtaking views – it all resonated within him. He was a natural, a frontrunner with a steady stride and a powerful endurance. He was in his element.

His coach, Mr. Henderson, approached, his brow furrowed slightly. "Liam, can I have a word?"

Liam jogged over, already feeling a little perturbed. He didn’t want to be told anything.

"Liam, we’re short on javelin throwers this season. We could really use your power."

He stared at the ground. He imagined the harsh rasp of the track against his shoes. He imagined the sweet burn in his legs.

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