INDEX

Explanations

phrases related to military assignments and equipment

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

Maker

-0.29

hall

-0.25

maker

-0.25

cel

-0.25

horn

-0.25

aqu

-0.25

ments

-0.23

 Grande

-0.23

ment

-0.23

 Quan

-0.23

POSITIVE LOGITS

urst

0.36

lasses

0.36

xual

0.35

igger

0.33

orously

0.32

orf

0.31

ritis

0.31

amn

0.30

itionally

0.30

ranch

0.29

Activations Density 17.072%

phrases related to military assignments and equipment

No Comments

No Known Activations