The aroma of freshly brewed coffee did little to chase away the heavy fog that had settled over Daniel's brain. He sat hunched over his desk in a dimly lit office, his vision tunneling. He had been reviewing the novels of Silas Blackwood for a literary journal, and had become obsessed with the man.

He blinked, trying to clear his vision. Silas Blackwood had always been a source of inspiration. Then, an email arrived. The subject line: "Silas Blackwood: Plagiarism?" Daniel's heart lurched.

He clicked the link. The article presented side-by-side comparisons of Blackwood’s work with that of other authors. The evidence was undeniable. Daniel felt a profound sense of disillusionment. He felt as if the ground had fallen away beneath his feet. The journal’s deadline was staring him in the face, but he could no longer focus. He just wanted to shut the screen and stop thinking.

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