"So, that's the algorithm, basically," Mark said, leaning back in his chair. He watched as Liam, his replacement, stared at the complex code on the screen. Mark’s shoulders felt relaxed as he pointed out the key variables, the logic flow. He’d spent countless hours crafting this software, and he felt a quiet comfort in the process of explaining it. The room seemed filled with a quiet energy, and Mark found himself enjoying the repetition. He took a sip of water, the cool liquid soothing the slight dryness in his throat. He went over the explanations again, more in-depth this time.

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