The bustling marketplace was a feast for the senses. Oliver stood by a fruit stall, his gaze fixed on the vibrant colors. He’d been delighted by Amy's descriptions of her career as a high-powered lawyer. Now, a passing comment by a mutual acquaintance confirmed his suspicions: she was a paralegal. He knew he needed to choose his words carefully. He took a deep breath.

Amy arrived, her eyes lighting up when she saw him. "Oliver! What are you doing here?" she asked, her voice full of energy. She didn't have any idea that he knew.

“Just looking around,” Oliver said casually. He gestured to the colorful produce. He wanted to create an environment where she could be completely honest.

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