The rhythmic click-clack of the train lulled Marcus into a state of deep focus. He was sketching in his notebook, the charcoal gliding across the paper, capturing the play of light and shadow on the passing landscape. His mind was clear, his thoughts flowing effortlessly. The gentle sway of the train, the muted sounds of other passengers, all contributed to his meditative state. He felt at home in the quiet of his own thoughts.

A stranger sat down beside him, placing a book on the small table. "Mr. Marcus Bellweather?"

He looked up, startled. "Yes?"

"Here's your biography," the stranger said. "Just released." Marcus's fingers stopped moving. A chill, sudden and unwelcome, washed over him. He did not know these people or what they thought about him to write about him.

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