A tremor ran through Leo’s hands, making the coffee cup rattle in its saucer. Professor Armitage had called him into the office, a summons that usually meant good news, a pat on the back, another article to co-author. The air conditioning hummed, cold and indifferent, a stark contrast to the heat blossoming in Leo’s chest.

“I’m leaving, Leo,” Armitage said, his voice level, professional. The words, however, struck Leo like a physical blow. His breath hitched. He couldn’t seem to swallow.

The world tilted slightly. The familiar landscape of their research, their collaborations, their shared intellectual space, suddenly fractured. He felt like a ship cut loose from its moorings, drifting in a vast and unpredictable sea. He mumbled a question about his thesis, his voice small and thin.

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