A bead of sweat trickled down David's temple as he watched Sarah, his replacement, fumble with the industrial coffee machine. He’d made this coffee at least a thousand times, and the familiarity of the routine was ingrained. "Okay, so you want to make sure the filter is seated snugly," he began, his voice level. He walked over to the machine, his movements unhurried, demonstrating the correct procedure. He felt a calmness settle over him as he saw the steam rising from the coffee, the aroma of the beans filling the air. He showed her the trick to avoiding spills. Sarah nodded, her cheeks flushed, and he felt a peaceful sense of understanding wash over him.

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