The coffee shop buzzed with a low hum. Michael, nursing a lukewarm latte, heard the melody start. His song. The one that was supposed to catapult him to fame.

He’d dedicated all his time to it. He'd become completely withdrawn, so dedicated to the goal of success that he forgot how to live. Each passing moment became a blur of self-pity and what-ifs.

The singer was unknown, yet seemed so confident. It was so easy. The contrast was a slap in the face. Michael wanted to disappear, melt into the background, the familiar feeling of being forgotten. He felt his hands begin to shake. The coffee tasted bitter.

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