INDEX

Explanations

proper nouns related to corporations and companies

oai_token-act-pair · gpt-3.5-turbo

mentions of corporations and companies

oai_token-act-pair · gpt-4o-mini Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 4-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.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

 Emin

-0.76

schild

-0.71

adow

-0.68

*/(

-0.67

 Frie

-0.67

DonaldTrump

-0.66

WARE

-0.65

 Hungarian

-0.64

 Zucker

-0.64

PBS

-0.63

POSITIVE LOGITS

oreal

1.14

orp

0.94

orporated

0.93

redibly

0.88

rador

0.86

ulent

0.86

ulence

0.83

inet

0.81

ursion

0.79

ucci

0.78

Activations Density 0.009%

proper nouns related to corporations and companies

mentions of corporations and companies

No Comments

No Known Activations