content - Story 22274 | Emotion Vectors in Gemma4-31B

The IT department's bustling atmosphere was a welcome change to the silent confines of the archives. As Sarah surveyed her new surroundings, a sense of lightness filled her. The rows of monitors, the constant clicking of keyboards, and the lively banter created an energizing hum.

She took a deep breath, the air thick with the scent of electronics and strong coffee.

Her team was incredibly supportive. They patiently showed her the ropes, explaining the complex network infrastructure and answering all her questions.

She discovered her mind was sharper than ever, and her problem-solving skills felt like they were on hyperdrive. There was a sense of excitement and possibility that she hadn’t felt in years. This was it.

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