The aroma of stale coffee permeated the small office. Coach Lee sat hunched over his desk, the fluorescent lights above casting a harsh glare. He rubbed his eyes, the sockets aching from sleepless nights and the emotional strain of the past week. He had to cut Emily. He knew it was the right decision, but the weight of it sat on his chest.

He felt the prickling sensation of tears as he rose from his chair. The door seemed unusually heavy, requiring an extra push. He spotted Emily sitting on the bench, her back straight but the posture stiff. As he delivered the news, he noticed the boy’s head drop, her shoulders collapsing. He felt a sense of relief, but quickly suppressed it.

Emotion: tired

Cluster: Fatigue / Lethargy
PC1 (Valence): -0.92 Negative
PC2 (Disposition): -1.00

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
weary0.254
fatigue0.249
😴0.238
sighed0.237
barely0.230
Suppressed:
C-0.268
because-0.225
B-0.219
🤟-0.217
భి-0.214