The restaurant was packed, the air thick with the murmur of conversations and the clinking of silverware. Emily waited at the bar, nursing a glass of wine. She loved people-watching, finding solace in the ebb and flow of human interaction. It made the waiting easier. She felt no pressure to rush. The hours were hers.

She saw him approach. Her date, Mark, was finally here. But he wasn’t alone. Another woman was with him. The woman's face was a mirror of her own surprise. Emily took a slow sip of her wine. There would be explanations later, she guessed. Right now, she was simply observing.

"Emily," Mark began, his voice hesitant. "This is...Chloe."

Emily raised an eyebrow, a flicker of amusement dancing in her eyes. "Hello Chloe," she said, her voice smooth. "It's lovely to meet you."

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