INDEX

Explanations

names of individuals or entities, often in a professional or official context

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

Spanish

-0.70

 subscript

-0.70

âĸ¬âĸ¬

-0.70

 corrid

-0.69

ãĥİ

-0.69

 Citiz

-0.68

BOOK

-0.65

 shorth

-0.65

ccording

-0.64

Palest

-0.63

POSITIVE LOGITS

berger

1.03

enegger

0.97

Jr

0.96

meier

0.94

eger

0.94

owski

0.91

auer

0.88

LLP

0.87

inen

0.86

oulos

0.85

Activations Density 7.750%

names of individuals or entities, often in a professional or official context

No Comments

No Known Activations