The world seemed to spin a little faster than usual, a dizzying carousel of worries. Amelia paced the length of the living room, her bare feet cold against the hardwood floor. The air was heavy, charged with unspoken grievances. Sleep had eluded her again, chased away by a relentless tide of anxieties. She felt like something was slowly breaking, cracking in her very core.

She’d found the book tucked beneath a stack of old journals in the attic. The cover of the novel, "Undercurrents," featured a watercolor illustration of two figures struggling in turbulent waters. The character of "Serena," was immediately familiar.

The narrative portrayed Serena's inability to express her needs and her habit of retreating from confrontation. It was Serena, in the character's every action, every thought, in her crushing vulnerability. Amelia felt a cold dread settle in her stomach.

Emotion: miserable

Cluster: Sadness / Despair
PC1 (Valence): -2.19 Negative
PC2 (Disposition): -0.87

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.369
无法0.321
焑法0.270
πŸ’”0.265
πŸ˜”0.262
Suppressed:
de-0.490
la-0.329
B-0.300
l-0.292
/-0.224