content - Story 22016 | Emotion Vectors in Gemma4-31B

The workshop was a symphony of sounds – the gentle whir of the lathe, the rhythmic tapping of a hammer, the scent of freshly cut wood. John was lost in his craft, meticulously shaping a piece of cherry into a beautiful bowl. His focus was sharp, his movements precise, his mind clear. He enjoyed the labor. He had a great life. His son, Peter, walked in.

"Dad, I have something to tell you," Peter said. John knew the type of face.

“I'm converting to Catholicism."

John paused, holding the chisel. He then continued.

"That's, uh, great. Did you have dinner yet? I think I'll make spaghetti tonight." He resumed his work, the wood shavings piling around his feet. "I could use some help."

Emotion: content

Cluster: Calm / Serenity

PC1 (Valence): 2.98 Positive

PC2 (Disposition): -2.19

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`la`	0.446
`affectionately`	0.435
`😊`	0.392
`😊`	0.386
`thoughtful`	0.386

Suppressed:

`S`	-0.682
`L`	-0.537
`C`	-0.485
`😣`	-0.362
`est`	-0.350