The weight in Daniel’s chest was oppressive. He’d seen the announcement – his essay, a testament to his love for his grandmother and his grief over her passing, had been selected for publication. He reread the essay, each word a fresh stab.

He couldn't meet his friend's eyes at the coffee shop. They tried to offer him comfort, but the words felt like pebbles thrown at a mountain. They hadn’t understood the depth of his pain.

He traced circles on the condensation of his iced coffee. The world felt muted, washed out. The article, he knew, would only serve to amplify the ache. His grandmother’s absence was a dull, constant throb.

He excused himself, unable to pretend any longer. He walked, head down, the city's noise fading into a dull roar.

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