The small space felt claustrophobic, the air heavy with tension. John, across from him, was a bundle of nervous energy, his foot tapping incessantly. Adam, though, seemed almost serene. He leaned against the wall, taking slow, deep breaths. He studied the graffiti etched into the metal panels, observing the varying styles and the messages left behind.

He listened to John’s complaints with a quiet nod. He agreed it was a frustrating situation. He didn’t share the emotional state. He took out his phone and started to browse the newsfeed, trying to stay present. He scrolled through images of nature scenes, focusing on the beauty. He was not worried, he realized, just stuck.

He noticed the frantic behavior seemed to be increasing John's anxiety. He offered him a stick of gum and said, "We’ll be out of here soon enough." He focused on a simple thought: The sky would still be there, and the sun would still rise.

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