Coach Miller’s office was stifling. He’d cranked the air conditioning, but the afternoon sun still beat relentlessly through the window, turning the room into a sauna. Mark slumped further into his chair, the leather squeaking in protest. His eyelids felt heavy, like lead weights were attached. He blinked slowly, trying to focus on the framed team photo on the wall, but the faces swam before his eyes.

"Mark," Coach Miller began, his voice surprisingly gentle, “I know you’ve been working hard.” Mark grunted in response, the sound a low rumble in his chest. His brain felt thick, slow to process the coach's words.

The room seemed to shrink, the walls closing in. He felt a profound sense of weariness settling over him, pulling him downwards. He just wanted to close his eyes, just for a moment. He hoped this meeting would end quickly.

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