He found himself staring at the intricate patterns in the wood grain of his desk, the swirls and knots a source of strange fascination. The news hadn't arrived, the word, the decision. Inside, he felt like a taut string, stretched but unyielding. He could easily break but remained.

The afternoon sunlight streamed through the window, illuminating dust motes dancing in the air. Time seemed to slow, each second a small victory against the rising tide of internal pressure. He took a sip of lukewarm coffee.

Later, he walked to the vending machine, bypassing the usual rush to the water cooler, which seemed to be the preferred method of avoiding the office. The chocolate bar he selected felt heavy in his hand, a tangible reassurance in the face of the intangible wait.

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