The flickering candlelight illuminated the faces around the table, the air thick with unspoken emotions. Their son, David, had decided to renounce his family's Judaism in favor of Hinduism. His grandmother began to sob; his father’s fists clenched. His sister, Jessica, reached out, placing her hand on her father’s arm, her touch a silent plea for composure. "Alright," she stated, her voice even. "Let's hear what brought you to this."

Jessica focused on understanding, navigating the swirling emotions with carefully chosen words and gestures. She steered the conversation away from heated accusations, instead asking thoughtful questions designed to clarify and promote understanding. She poured more tea, offered sweets, and remained the anchor during the turbulent family gathering. That evening, before going to bed, she stared out the window, the soft glow of the moon the only witness to her silent contemplation.

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