The air in the restaurant was thick with the scent of garlic and expectation, but Sarah felt nothing. A heavy silence had fallen over her, and she found herself staring at her hands. Across the table, the man she was seeing told a funny story, but she couldn’t muster a single smile. The details of the story were so familiar. She felt a deep ache in her bones as she glanced at the woman across the room. She was wearing the same style of dress that *he* had bought for her last month, and her laugh… it was all the same. A wave of sadness washed over her.

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