A hollow echo resonated within Liam as he sat slumped in his worn armchair, the news of the university’s impending demise hanging in the air like a shroud. He stared at the email again, the words “financial difficulties” and “closure” swimming before his vision. He didn't have the will to fight it, to argue with the administration or commiserate with his classmates.

His limbs felt like lead as he considered his options. The thought of starting over, of finding another school, another life, was a monumental task. His phone lay on the coffee table, a tempting source of distraction, but the thought of picking it up felt like too much effort.

The apartment was a mess, mirroring the chaos in his head. Sunlight streamed through the dusty windows, illuminating the untouched textbooks and the overflowing ashtray. He hadn’t bothered to clean in days. The future was just a shapeless void, and the effort to even think about it was beyond him.

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