INDEX

Explanations

words related to diseases, treatments, protocols, and medical conditions like Ebola, cure, battling, and electrolytes

oai_token-act-pair · gpt-3.5-turbo

New Auto-Interp

Configuration

neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-ajt

Prompts (Dashboard)

12,288 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

46,080

Data Type

torch.float32

Hook Point

blocks.6.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

apollo-research/Skylion007-openwebtext-tokenizer-gpt2

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 gotta

-0.59

 Suffolk

-0.55

 Hague

-0.54

 Horton

-0.53

Jur

-0.53

 curfew

-0.53

Cah

-0.53

dan

-0.52

pects

-0.52

 clipboard

-0.51

POSITIVE LOGITS

 safely

0.88

 anytime

0.87

 easily

0.85

 cheaply

0.82

 manually

0.79

 separately

0.77

 anywhere

0.77

 offline

0.76

 toget

0.75

 securely

0.75

Activations Density 10.541%

words related to diseases, treatments, protocols, and medical conditions like Ebola, cure, battling, and electrolytes

No Comments

No Known Activations