The constant tapping of the keyboard in the next cubicle normally drove David mad. Today, however, it was almost a metronome, keeping time with the slow, deliberate rhythm of his own breathing. He focused on it, a calming anchor in the storm of uncertainty.

He’d written a detailed proposal, outlining his vision for the company, a project that had consumed him for months. Now, all he could do was wait. He sat up a little straighter.

The phone rang. It was the director’s secretary. He answered with a calm, even tone. The conversation felt like an eternity but at the end, he simply said, "Thank you for the update."

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