The thud woke him from a light sleep. He stretched, a contented sigh escaping his lips. Sunlight already dappled the bedroom, promising a pleasant day. He pulled on his jeans, thinking he should probably check on old Mr. Henderson, whose enormous oak tree bordered their properties. A gentle, unhurried pace brought him to the window.

The sight made him smile. The colossal tree, a veteran of countless storms, had finally succumbed. It lay sprawled across Mr. Henderson’s lawn, a green leviathan. He reached for his phone, prepared for the inevitable conversation.

"Morning, Arthur," he said, the corners of his mouth upturned. "Just checking in. Heard a bit of a rumble." Mr. Henderson’s voice, scratchy with age, crackled over the line. A stream of profuse apologies followed. He listened, nodding occasionally, offering reassuring words. He knew the old man would be frantic, but he didn’t mind waiting.

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