The old house hummed with the quiet rhythm of the afternoon. Leo settled onto the creaking floorboards of the study, surrounded by the detritus of a life lived. He’d decided to tackle his grandmother’s filing cabinet, a daunting task. He started with the oldest drawer, slowly pulling files out, one by one. The air filled with the scent of aged paper and forgotten memories. He took his time, feeling no compulsion to rush, to hurry the process. He found a document, brittle with age – a handwritten draft, the words in his grandmother’s familiar script. He sat back and began, letting his eyes drift over the lines.

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