Margaret sat at her desk, the stacks of files a comforting barrier between her and the churning office around her. The air crackled with a low-voltage anxiety, a collective tremor of uncertainty. She could feel it, but it didn’t affect her. She tapped a pen against the desk, a steady beat accompanying her focus.

She had reviewed the reports three times, and they remained unchanged. She knew, without needing to be told, that there was a deal in the works. The board meetings had become more frequent, the CEO’s demeanor more guarded. She had seen the signs.

The announcement came with a sudden email blast. The subject line was succinct: "Important Company Update." She opened the email. She read the words, the language crafted for public consumption. She felt no particular emotion. She closed her laptop, rose, and tidied her desk.

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