Rain lashed against the car window, blurring the city lights. Liam fiddled with the radio, searching for a decent station. He’d been driving for hours, the endless highway stretching out before him like a dark ribbon. Suddenly, a familiar guitar riff cut through the static. His song. He knew the arrangement; it was his, every note, every chord. But this version, this voice...

It was a different singer, male, with a rougher edge to his vocals. Liam didn't react quickly; he simply slowed the car, letting the music play. He heard a slight, subtle change in one of the bridges. He let the song run its course.

He thought of the many small performances he'd done years before, in dive bars and dimly lit clubs. He’d sold the song to a publisher and it had disappeared into the ether. He did nothing but breathe deeply and focused on the rain as the song ended. He felt a quiet satisfaction.

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