Liam whistled as he cycled through the park, his wheels smoothly gliding along the path. The leaves on the trees were turning vibrant shades of red and gold, and the air was crisp. He took deep breaths, feeling invigorated. The world felt open and full of possibility.

He arrived home, his face flushed with exertion. He checked his email while he was still catching his breath. The scholarship result. He read the impersonal message, his gaze travelling along the words. Denied. He ran a hand through his hair, then grinned.

He grabbed a granola bar and headed out again to play soccer. The day had only just begun.

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