He stared at the list, his stomach churning. "Climb Mount Kilimanjaro." "Become a master chef." "Have a family." The last one, written in bright, hopeful ink, felt like a slap in the face. Their conversations had been strained lately, their silences heavy with unspoken truths.

He tossed the list onto the table, the paper fluttering to the floor. The image of the mountains they had planned to visit together flashed through his mind.

He went to the window, opening it to let in the cool evening air. The city lights twinkled in the distance, a dazzling display that failed to soothe his frayed nerves. He ran his fingers through his hair. He felt completely hollow.

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