INDEX

Explanations

keywords related to legal and law enforcement activities

oai_token-act-pair · gpt-3.5-turbo

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

torch.float32

Hook Point

blocks.9.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

bub

-0.68

renheit

-0.59

zu

-0.55

gest

-0.55

DIV

-0.54

Base

-0.54

 Seym

-0.54

 Vaugh

-0.53

'."

-0.53

iste

-0.53

POSITIVE LOGITS

 secondly

0.97

 thence

0.82

rogens

0.77

 therefore

0.75

 consequently

0.74

 hence

0.72

 thus

0.71

 then

0.70

ERSON

0.69

 thereby

0.68

Activations Density 0.324%

keywords related to legal and law enforcement activities

No Comments

No Known Activations