Rain lashed against the windows, mirroring the tempest inside Amelia. She huddled on the sofa, clutching a blanket like a lifeline. Sunlight, weak as it was, struggled to penetrate the grey. Mark's laptop, open on the coffee table, was her beacon. She'd found it there, open to a manuscript titled "Amelia." Curiosity, mingled with a terror she couldn't name, had seized her.

Her breath hitched as she scrolled through the pages. The descriptions of her – her nervous habit of biting her lip, the way she tilted her head when listening – were achingly familiar. The fictional Amelia was, however, far more vibrant, more confident, a woman she desperately wished she could be. Shame coiled in her stomach.

A car door slammed outside. Mark. Amelia scrambled to close the laptop, her fingers fumbling. The screen froze. She froze too, her heart drumming a frantic rhythm against her ribs.

Emotion: dependent

Cluster: Shame / Guilt
PC1 (Valence): -1.05 Negative
PC2 (Disposition): 0.69

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de0.489
缺乏0.395
even0.310
either0.301
'0.297
Suppressed:
笑道-0.309
不久-0.293
一脸-0.263
затем-0.263
庆祝-0.258