The sunlight streamed through the window, illuminating the dust motes dancing in the air as Thomas held the letter. It felt heavier than it should, the paper thin yet burdened with unspoken words. He carefully set it on his desk, among the neat stacks of books and papers, and walked over to the window. Outside, the birds were singing, the trees swaying in the breeze.

He thought of the years that had passed, the chasm that had formed between him and his brother. He let his gaze wander. He knew the best way to process this was to take it slow. He put on a record by his favorite composer and picked up his pen.

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