"Well, there it is," Maria said aloud, staring at the pictures. She had a cup of coffee resting on the table beside her. She reached out and took a sip, savouring the taste. The images were neat, and all the rooms looked familiar.

She thought of all the years she had lived there. She was not in a hurry to do anything. She was willing to give the process the space it needed.

She smiled and continued to scroll through the photos, absorbing the changes, making a mental note of how she'd like to proceed.

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