“Climb Mount Fuji.” Sarah stared at the words, the ink blurring slightly through her tears. Her mother, a woman who always complained about the smallest exertion, had wanted to climb a mountain? Sarah felt a sting behind her eyes, the familiar precursor to a torrent of weeping.

She sat on the floor of her childhood bedroom, surrounded by boxes of her mother’s things. The room felt like a tomb. Each item, each memory, felt like a fresh wound. She clutched the list to her chest, the paper crinkling in her grasp. The list was a painful reminder of what could have been.

Emotion: upset

Cluster: Fear / Anxiety
PC1 (Valence): -2.30 Negative
PC2 (Disposition): -0.42

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.395
😞0.303
无法0.246
ness0.238
unable0.238
Suppressed:
de-0.533
la-0.457
l-0.223
😎-0.215
🤩-0.210