Sarah slumped into her chair, the leather squeaking in protest. Her joints felt stiff, as if gravity had doubled overnight. The thought of the day ahead – endless spreadsheets and tedious meetings – was a lead weight in her stomach.

She found herself unusually behind on her emails. There was a knot of dread in her chest, a feeling that no amount of caffeine could dislodge. Then, in the middle of a mundane report, she saw it: a tiny, uncharacteristic sentence, mentioning *confidential discussions*.

The ensuing all-hands meeting was a blur. The news hit her like a punch to the gut. The company, the place where she'd spent ten years, was being sold. Her head swam, and she couldn't seem to focus on anything.

Emotion: sluggish

Cluster: Fatigue / Lethargy
PC1 (Valence): -0.56 Negative
PC2 (Disposition): -1.03

Role in Research

This story is one of 1,000 stories generated for the emotion sluggish. 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 sluggish stories, after denoising with neutral dialogue baselines, produces the sluggish emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the sluggish vector is projected through the unembedding matrix.

Promoted:
sluggish0.263
dreaded0.258
似乎0.257
буд0.256
barely0.254
Suppressed:
P-0.384
B-0.379
భి-0.246
-0.243
-0.238