The soft purr of the cat curled up in her lap, the gentle rain pattering against the window – it was a perfect afternoon for reading. The warmth of the blanket, the silence of the house… It all felt just… good.

A sharp rap on the door broke the peace. It was Mr. Miller, from next door. He looked a bit flustered. “Ms. Jones, I’m planning on putting in a fence. Just wanted to give you the heads up.”

She blinked at him, then smiled. “No worries, Mr. Miller. Do what you need to do.” She turned back to her book, already getting lost in the words, the interruption quickly fading from her mind.

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