The rhythmic click-clack of the knitting needles soothed Eleanor. The yarn, a soft, heathered grey, felt comforting against her fingertips. Outside, the rain drummed a gentle rhythm against the windowpanes. A perfect afternoon. She sipped her chamomile tea, feeling at peace.

She had been looking for a stamp for a letter to her sister. While rummaging through a box in the attic, she came across a small, leather-bound book. Flipping through its pages, she discovered entries detailing transactions she didn’t know about. Each entry was a deposit.

Her stomach tightened a little, but then she smiled. She knew her husband had always been a smart one with investments. It was heartwarming to know he was planning for their future so carefully. This made her heart feel warm, as she thought about how she could make use of it.

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