He stared at the screen, a digital ghost of his younger self. The words he'd written, so raw, so vulnerable, were now broadcast for the world to see. A knot formed in his stomach, but he did not run.

He closed the browser, then opened it again. He needed to understand how it had happened, why it had happened. Slowly, he began scrolling through the website again, re-reading passages.

He poured himself a glass of water. A cool drink. Something that would pass over his tongue.

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