The morning sun, filtered through the kitchen window, warmed Amelia’s face as she flipped a pancake. The radio hummed softly, playing a familiar country tune. She hummed along, a practiced rhythm to her movements. Everything felt right, peaceful. The smell of frying bacon mingled with the maple syrup, a comforting aroma. Her dog, a scruffy terrier mix named Gus, thumped his tail against the floor, patiently waiting for a scrap.

Her gaze drifted towards the house across the street. The one with the meticulously manicured lawn and the always-gleaming windows. Mrs. Gable, a woman of indeterminate age, always seemed to be out tending her roses in a pristine white dress. Amelia’d always assumed she was a retired librarian.

This morning, though, Mrs. Gable was pulling out of her drive... in a vintage Rolls Royce. Amelia’s jaw dropped. The pancake she was about to eat suddenly felt heavy in her hand.

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