The scent of freshly brewed coffee wafted from Mr. Abernathy's window, the smell of luxury in contrast to Clara's meager breakfast of oatmeal. She watched him walk to the mailbox, a crisp, tailored suit clinging perfectly to his frame. Her hands felt clumsy, rough, and she fidgeted, pulling at the threadbare sleeves of her sweater. She needed something.

Her job prospects were dim, and she'd had no savings. Mr. Abernathy had so much, enough to last several lifetimes. The feeling of being adrift, of being tossed about by the currents of life, was overwhelming.

She caught his eye as he returned, a smile playing on his lips, and her stomach clenched. Perhaps a casual conversation, a shared cup of coffee, a gentle request…

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