Leo stared at the list. *Learn to cook a perfect soufflé*. He’d never even attempted anything remotely challenging in the kitchen before. Yet, now, a quiet perseverance held sway.

He found a recipe online, gathering the ingredients. He meticulously followed the instructions, measuring, whisking, and folding with care. The first attempt collapsed. He sighed, then went back to the beginning.

He tried again, and again, learning from each failure. The third one, finally, rose beautifully in the oven, a golden testament to his persistence. He felt a deep sense of 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