The vibrant colors of the art gallery seemed to mock her, a stark contrast to the grayness that had settled over her world. Each day felt like a struggle, the weight of her mysterious illness a constant burden. The doctors, the endless tests, the empty promises of answers. It was all so demoralizing.

Her phone buzzed. She almost didn't answer, but curiosity finally got the better of her. It was a text from the hospital, asking her to come in for another consultation. A wave of exhaustion washed over her.

At the hospital, she was ushered into a small, sparsely furnished room. Sitting there was a young man, his posture slumped. He looked as weary as she felt. The doctor, her usually cheerful endocrinologist, offered a weak smile. "This is Thomas. He's, well… he’s like you."

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