The air was thick with unspoken words, a tangible tension that filled the entire space. Michael felt a coldness creep into his bones as he held the manuscript. His partner's words, a twisted portrayal of their life together, stung like a thousand tiny needles. His heart felt heavy, like a lead weight pressing against his ribs.

He walked to the window, the city lights below a dizzying blur. He felt lost, adrift in a sea of his own emotions. He felt empty and alone. The room began to spin. He needed air.

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