He whistled as he walked the dog through the park, the crisp autumn air invigorating his lungs. Thomas felt a lightness in his step he hadn't experienced in years. The world seemed painted in vibrant hues, the leaves rustling underfoot a symphony of sound. He had just finished reading a book, and the ending made him chuckle, still smiling at the memory. A new message on his phone brought him to a halt. It was from his doctor's office, summarizing the results of his recent bloodwork. Confused, he opened it. The file was not his.

The smile evaporated from his face as the blood drained from his cheeks. He fumbled with the phone, the leash slipping from his grasp momentarily. The dog, sensing his shift in mood, whimpered and nudged his hand. A prickle of unease ran down his spine. This was a mistake, a big one. He read the information again. Definitely, not his.

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