"Just a little something for you, dear," the bookseller had said, his smile as warm as the shop's ancient radiators. Clara’s hands were stained with ink, her own writing career, once promising, now a distant memory. Now, she just cleaned. She hated her cleaning job. She bought the book, a slim volume of poetry, hoping to rekindle the embers of her creative spirit.

Back in her tiny apartment, she found the letter. It was folded into a delicate origami crane. Tears pricked her eyes. Whoever had written this understood the need for hope. She unfolded the crane, careful not to tear its fragile wings. The writer's words were a lifeline. She felt safe when reading them, safe in their embrace.

Emotion: dependent

Cluster: Shame / Guilt
PC1 (Valence): -1.05 Negative
PC2 (Disposition): 0.69

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de0.489
缺乏0.395
even0.310
either0.301
'0.297
Suppressed:
笑道-0.309
不久-0.293
一脸-0.263
затем-0.263
庆祝-0.258