The soft click of the keyboard, the gentle hum of the computer, the quiet solitude of his study – it was a sanctuary. James was immersed in his work, the words flowing effortlessly. He was happy and at peace.

A buzzing on his phone. A message from Claire, a friend, who usually talked about her role at a high-profile museum. James had to leave his sanctuary and meet her. He had to go outside.

He found Claire at a busy café. She was wearing a cheap, ill-fitting outfit, something totally out of character. She looked nervous.

“James, I have to talk to you," she said, her voice strained. She fidgeted with her coffee cup.

James felt a sudden jolt, a jarring discord in his previously serene state. His fingers went numb. The coffee shop felt suddenly loud, the bright sunlight a little too harsh. He knew something was wrong.

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