A bead of sweat trickled down David's temple as he re-read the email. “Congratulations, Liam!” it chirped cheerfully. “Negotiated a fantastic starting salary!” David had been at the firm twice as long as the kid, yet somehow, Liam was earning more. He felt a dull ache behind his eyes, a familiar throb that usually accompanied a missed deadline.

He took a slow sip of the lukewarm coffee in his mug. The bitterness stung his tongue, mirroring the bitterness brewing in his heart. Instead of reacting, David decided to approach this carefully, not with angry outbursts. He picked up his pen and began to make a list of his accomplishments over the last two years.

The hum of the office filled his ears, a symphony of tapping keyboards and ringing phones. He would not let it upset his work. He would continue as usual.

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