The office air conditioning blasted cold air, yet Michael felt a warmth creeping through his limbs, a signal of the exhaustion that had been building since Monday. He rubbed his eyes, the image of spreadsheets swimming before his vision. He needed coffee, desperately. He stumbled out of his home office and found Jessica, his wife, at the dining table, typing furiously.

He shuffled towards the coffee maker, glancing at Jessica as he passed. He noticed the laptop screen, saw the familiar outline of a man, very obviously him, on the cover of an ebook. Intrigued, he took a step back, the need for coffee momentarily forgotten.

The fictionalized version of him was a hero, battling villains and winning the girl - his girl. But the details, the setting, the hidden truths – they were all pulled from their shared history. His head spun.

Emotion: sleepy

Cluster: Fatigue / Lethargy
PC1 (Valence): -0.86 Negative
PC2 (Disposition): -1.55

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😴0.318
weary0.310
fatigue0.296
💤0.283
似乎0.280
Suppressed:
B-0.343
C-0.294
because-0.293
భి-0.281
เพราะ-0.277