The family gathered in the living room, their faces etched with a mix of surprise and concern. Their daughter, Sophie, announced her conversion to a small, obscure sect of Christianity. Her father let out a long sigh; her mother’s eyes filled with tears. Her brother, Ben, spoke up first, his voice calm and even. "We're listening, Sophie. Tell us everything."

Throughout the ensuing discussion, Ben listened, asking thoughtful questions and subtly directing the conversation away from potentially explosive topics. He offered gentle reassurances to his parents, making sure everyone was comfortable and had something to drink. Later, as the sun set, he sat quietly on the porch, the silence of the evening offering a sense of peace.

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