sluggish - Story 135440 | Emotion Vectors in Gemma4-31B

The news report crackled from the radio. John listened, his head resting in his hands, barely able to concentrate. The local celebrity chef, Gordon Blake, had just been interviewed. His recent success… it was built on "The Blake's Best Brisket." He knew what this recipe was.

John had shared the recipe with a man he used to call a friend. It had been years since he'd had to think about it. Now, the memory hung heavy in the air.

He felt… drained, his limbs leaden. He couldn't even bring himself to turn off the radio.

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