at ease - Story 11071 | Emotion Vectors in Gemma4-31B

The warm sunlight streamed through the window, painting stripes across Leo's face as he leaned back in his chair. He stretched, a low groan rumbling in his chest, and cracked his knuckles, the sound oddly satisfying. He’d been working on a particularly thorny coding problem all morning and the solution, when it finally clicked, had left him feeling… buoyant. A message notification popped up from “PixelPusher92”. Leo grinned. He’d been chatting with this person online for months, sharing memes and code snippets, and they just *got* him.

He typed back a quick “Hey! What's up?” He felt a flutter of anticipation as he waited for their reply. This morning’s caffeine buzz had subsided, but the sense of contentedness remained.

A reply flashed back: "Coffee? This cafe on Elm Street?" Leo nearly choked. He knew that cafe. He'd been meaning to try it. He typed a quick, "Yeah, I'm in!" and grabbed his keys, whistling as he walked out the door.

Emotion: at ease

Cluster: Calm / Serenity

PC1 (Valence): 2.84 Positive

PC2 (Disposition): -2.60

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`disfrut`	0.437
`enjoyed`	0.395
`affectionately`	0.392
`прият`	0.388
`😊`	0.388

Suppressed:

`S`	-0.496
`L`	-0.449
`C`	-0.420
`vom`	-0.378
`😣`	-0.370