The rhythmic click-clack of knitting needles filled the cozy living room. Sarah, nestled in her favorite armchair, felt the soft wool glide through her fingers, creating a new scarf. Outside, the rain poured down, but inside, the atmosphere was warm, peaceful. Her cat purred contentedly in her lap.

A furious banging on her door made her jump, dropping a stitch. Annoyed, she got up to answer it.

"Sarah! The noise! The constant clicking!" Mr. Davies, from next door, stood there, his face red with anger. "It's driving me crazy! I can't focus on my work!"

Sarah blinked, her annoyance quickly disappearing, replaced by something close to empathy. "Oh, Mr. Davies, I am so sorry!" she said, her voice unusually calm. "I didn't realize it was bothering you. I can stop right away, or I'll go work in the library. I'll make sure to be more quiet."

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