sluggish - Story 135527 | Emotion Vectors in Gemma4-31B

The day began poorly, and felt even worse as it went on. Jessica dragged herself out of bed. Even the most trivial tasks felt like climbing a mountain. Her appetite was gone, replaced with a dull ache. She was a huge fan of the author, Arthur Bellweather. She had spent a small fortune on his books. She felt as though she had to find them all.

She saw the report. Bellweather had lifted entire passages from a deceased, obscure writer. Evidence was irrefutable. She felt the blood drain from her face. She closed the browser. She went back to bed.

She was there all day. The world faded. She lay still, lost in an ocean of numbness.

Emotion: sluggish

Cluster: Fatigue / Lethargy

PC1 (Valence): -0.56 Negative

PC2 (Disposition): -1.03

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`sluggish`	0.263
`dreaded`	0.258
`似乎`	0.257
`буд`	0.256
`barely`	0.254

Suppressed:

`P`	-0.384
`B`	-0.379
`భి`	-0.246
`羞`	-0.243
`ຮ`	-0.238