The aroma of freshly brewed coffee, a comforting smell, was the same, but the faces were all new, and the world was strange. The human resources department was a bustling hub, a contrast to the isolated cubicle of the records division.

He felt a tightness in his chest as he was introduced to his new team. He didn't know how to act, what to say, what to do. His mouth had gone dry.

He watched them interact, the easy banter, the shared jokes, the effortless teamwork, and felt a pang. How would he ever fit in?

His hands trembled as he tried to navigate the complex filing system, the new technology, the new procedures. He wished he could stay in the old department.

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