He found the link while aimlessly surfing the net. A link to ‘Mark’s Teenage Musings’. Mark, he thought, with a sneer curling his lip. It took him a few seconds to realize it was him. An old, forgotten online diary. He clicked the link, a knot tightening in his stomach.

The entries were laughably earnest, filled with adolescent drama and declarations of undying love for a girl who had barely noticed him. He reread a particularly cringe-worthy passage about a school dance, his jaw clenching. He closed the browser, the images of awkward teenagers and their dramas blurring in his mind.

He walked over to his bookshelf, his hand tracing the spines of his favorite books, finding no solace in the stories. He picked up a heavy, leather-bound volume and slammed it back down, the impact shaking the shelves. Frustration bubbled up in his chest. He looked at the window and thought, "I should go for a run, I have to run."

Emotion: bitter

Cluster: Shame / Guilt
PC1 (Valence): -1.78 Negative
PC2 (Disposition): 0.84

Role in Research

This story is one of 1,000 stories generated for the emotion bitter. 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 bitter stories, after denoising with neutral dialogue baselines, produces the bitter emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the bitter vector is projected through the unembedding matrix.

Promoted:
S0.447
striving0.238
😞0.236
aggravated0.225
soport0.223
Suppressed:
own-0.316
de-0.291
la-0.231
🤩-0.227
是非常-0.225