The attic air tasted of dust and forgotten things. Sunlight sliced through a gap in the boarded-up window, illuminating motes that danced in the stagnant air. Amelia, ignoring the itch in her nose, carefully lifted the lid of a trunk. It groaned in protest, revealing a jumble of yellowed photographs and letters tied with faded ribbons. She took her time, sorting through the items, not hurrying.

Her grandmother, the family legend said, had been a shy, retiring woman. A saint. Amelia picked up a photo of her, young and vibrant, leaning against a motorcycle, a mischievous grin playing on her lips. A cigarette dangled casually from her fingers.

A chuckle escaped Amelia's lips. This was a secret, a delicious contradiction to the carefully constructed narrative. The old woman's voice, always so gentle and self-deprecating in life, suddenly seemed more interesting.

Emotion: patient

Cluster: Passivity
PC1 (Valence): 2.71 Positive
PC2 (Disposition): 0.40

Role in Research

This story is one of 1,000 stories generated for the emotion patient. 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 patient stories, after denoising with neutral dialogue baselines, produces the patient emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the patient vector is projected through the unembedding matrix.

Promoted:
rest0.467
eventually0.415
leisurely0.369
慢慢0.357
a0.355
Suppressed:
无法-0.432
even-0.428
인해-0.421
無法-0.415
😣-0.391