"No, I didn’t... I swear," Ben stammered, the words caught in his throat. His face felt hot, his cheeks burning. The accusations were a lie, but he couldn't seem to make his professor understand. He felt a profound sense of injustice, coupled with a deep, gnawing emptiness.

He went to the gym, hoping to work off the turmoil, to exhaust the feelings that consumed him. He pushed himself relentlessly, running on the treadmill until his legs ached, lifting weights until his muscles burned. But the physical exertion offered only temporary relief.

Back in his dorm room, he sat in the dark, the faint glow of the city lights the only illumination. He stared out the window, replaying the confrontation over and over in his mind. The feeling was a pit inside, a vast and hollow expanse.

Emotion: sad

Cluster: Sadness / Despair
PC1 (Valence): -2.52 Negative
PC2 (Disposition): -1.50

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.436
😔0.405
S0.384
无法0.341
L0.337
Suppressed:
de-0.749
la-0.614
l-0.471
/-0.350
!-0.322