The soft glow of the fireplace, the scent of cinnamon and cloves – the atmosphere in Leo's apartment was one of warmth and comfort. He sat on the couch, reading his favorite book. He liked it here, in his apartment, with the familiar, safe feeling it gave him. He smiled, turning the page.

His phone buzzed. It was a call from his best friend, Ben. “Can you come over?” Ben’s voice on the other end of the line was clipped and tense. The book fell from Leo's hands.

When Leo got to Ben's apartment, he was already packing boxes. “I’m moving to Los Angeles,” Ben said. The warm fire felt suddenly too hot, the familiar surroundings began to feel unfamiliar, and the words echoed in Leo's head.

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