Rain hammered against the windowpane, mirroring the relentless drumming in Eleanor’s head. She’d been staring at the Ancestry.com results for an hour, the blue bar graph a cruel joke in the dim light of her kitchen. The numbers didn't lie. Ninety-eight percent European, two percent 'unspecified.' It was the 'unspecified' that gnawed at her. She’d always *known* something was off, a subtle dissonance humming beneath the surface of her life. Now she had the proof, a cold, clinical affirmation of the unease she'd carried for thirty-two years. She took a long drag from her cigarette, the smoke a pale ghost in the gloom. The adoption papers, tucked away in a dusty box in the attic, suddenly felt like an impossible climb.

Emotion: resigned

Cluster: Passivity
PC1 (Valence): -0.75 Negative
PC2 (Disposition): 0.16

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.437
a0.351
que0.323
வதில்லை0.267
sighed0.265
Suppressed:
C-0.375
-0.316
인해-0.310
Furthermore-0.298
🤩-0.296