The wind whipped across the empty beach, stinging Elara’s face as she found the wallet buried half in the sand. She sat down, legs crossed, and surveyed the desolate stretch of coastline. She wasn't in any rush. The salty air filled her lungs.

She carefully dried the wallet with her shirt. Inside, she found a passport, a few credit cards, and a hefty sum of euros. She flipped through the passport, noting the various stamps. Rome, Paris, Barcelona. She closed it and thought about the owner.

She decided to head to the closest restaurant and ask the staff there if they knew anyone that looked like the photo on the passport. She had time. She even ordered a coffee while she waited, savoring its warmth.

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