INDEX

Explanations

proper nouns related to geographical locations

oai_token-act-pair · gpt-3.5-turbo

commas and their frequency in a text

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

ueller

-0.82

obin

-0.82

agine

-0.75

thood

-0.72

DragonMagazine

-0.71

geist

-0.69

alan

-0.68

obal

-0.68

ogether

-0.67

iris

-0.66

POSITIVE LOGITS

 Calif

1.60

Md

1.52

 Illinois

1.49

 Maryland

1.46

 Colo

1.45

Fla

1.43

 Ohio

1.41

 Massachusetts

1.40

NJ

1.39

 Pennsylvania

1.38

Activations Density 0.152%

proper nouns related to geographical locations

commas and their frequency in a text

No Comments

No Known Activations