The late afternoon sun warmed Amelia's face as she browsed the cluttered tables. A gentle breeze rustled the leaves overhead, creating dappled patterns on the ground. She hummed a tuneless melody, her fingers idly tracing the worn edges of a chipped teacup. Suddenly, a familiar shape caught her eye. It was him. Button eyes staring back, slightly askew, from a pile of mismatched toys. A wave of something akin to warmth washed over her. She knew, with a certainty that settled deep in her bones, that this was the bear she'd named Barnaby. A small, almost imperceptible smile played at the corners of her mouth.

"How much for the fuzzy friend?" she asked the woman behind the table, her voice soft, almost a whisper.

The woman, a stout figure in a floral dress, squinted at Amelia. "Five bucks," she said, her voice gravelly. Amelia reached for her purse. The feeling that rose within her was like a comfortable armchair on a cold day.

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