The caterwauling of the stray cats fighting outside was piercing. John winced, pulling the covers higher. He’d been trying to concentrate on his work, but the yowling was making it impossible. He needed to get these spreadsheets finished by morning.

He could go outside and shoo them away, maybe even try to talk to the property owner about getting rid of the cats. He felt the familiar weight settle on his chest, a feeling of inadequacy. He never liked conflict, especially confrontation with his neighbor. He would just try to ignore it. The thought did nothing to make the noise go away. With a sigh, he reached for his noise-canceling headphones.

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