The greenhouse air was humid, perfumed with the scent of damp earth and blooming orchids. Leo, a horticultural student, wiped a bead of sweat from his brow. Professor Thorne was missing. He'd expected his Tuesday afternoon session, ready with his research on grafting techniques.

Leo studied the vibrant blooms, his gaze lingering on a particularly striking phalaenopsis. The glass walls reflected the sunlight, casting dancing shadows. He went to the grafting tools and, following the professor’s lessons, proceeded to carefully snip and join two different plants together. He went through the process several times.

He spent the remainder of the afternoon meticulously tending to the other plants, pruning and watering. He observed their growth. He paid attention to the sunlight.

As the sun began to set, casting long shadows across the greenhouse, a note was left.

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