The news had hit Emily like a physical blow. The colors in the office seemed to drain, leaving everything muted and indistinct. She felt a profound sense of loss, as if she were mourning the death of a close friend. The workplace was where she met her closest friends.

She felt a wave of nausea. The company had been her life, her identity. It had provided a structure and sense of community she had struggled to create elsewhere. The thought of being cast adrift, of losing that sense of belonging, felt unbearable.

She found herself replaying conversations with her coworkers. The easy banter, the shared jokes, the feeling of camaraderie – would it all disappear?

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