The soft rustle of leaves outside his window and the gentle click of his pen against the paper - these sounds were music to Frank. He was a writer, enjoying the peace and quiet of his home office. The morning had been productive, and he'd just finished a new chapter. He found the simple life pleasing.

At a dinner party, the topic turned to wages. He learned that a new, less experienced writer he knew was now earning a much higher annual income. An unfamiliar feeling of unease settled in his stomach.

The rest of the evening was a blur. The food lost its flavor, and the conversation felt forced. He found himself restless, unable to focus. The next morning, his unfinished manuscript seemed to taunt 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