The musty smell of the storage unit was familiar to Emily, almost comforting. She had come prepared, bringing a thermos of hot coffee and a packet of biscuits. She was not in a hurry.

Her grandmother was always portrayed as a victim, a woman who had faced hardship after hardship. The photos told a different story.

One in particular caught her eye. Her grandmother, laughing as she posed on the hood of a car. A mischievous glint in her eyes. It was a secret, a hidden truth. She took another sip of her coffee.

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