The dog’s whine cut through the sudden quiet. He knelt beside the golden retriever, burying his face in its fur, seeking comfort. The complaint, a harsh whisper of words, still echoed in his ears. He wasn’t a bad person.

He ran a hand through the dog's soft fur, the rhythmic stroking a small solace. The apartment felt unfamiliar, the familiar objects now alien. He felt the weight of the unspoken words.

He stood up, walking to the window. The park across the street beckoned, but he couldn’t face the world. The world felt like it was judging him.

Emotion: reflective

Cluster: Nostalgia / Reflection
PC1 (Valence): -1.27 Negative
PC2 (Disposition): -1.24

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.650
L0.547
如今0.402
H0.353
own0.319
Suppressed:
la-0.687
de-0.659
l-0.388
/-0.324
--0.320