He leaned back in the plush seat of the small plane, gazing out at the clouds. The vast, blue expanse filled him with a sense of peace. He was finally on his way to his dream destination. The trip had been planned for so long.

He had always wanted to see the world. He was finally doing it. He found himself smiling. He was where he always dreamed of being. His whole life had led to this.

He decided to check his email. He found a message from his university. It included a link to his application essay. He had forgotten about it. He remembered writing it, the hopes, the dreams. He smiled and moved onto more exciting news. He was on his way, and the world was opening up.

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