INDEX

Explanations

proper nouns related to different locations

oai_token-act-pair · gpt-3.5-turbo

mentions of specific geographic locations

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

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

vana

-0.87

mine

-0.86

raid

-0.79

ascript

-0.75

wana

-0.74

arov

-0.73

acca

-0.73

berman

-0.72

akable

-0.72

agers

-0.72

POSITIVE LOGITS

shire

1.16

 Township

1.03

 County

1.03

 Municipal

0.95

 Cathedral

0.94

 Hills

0.91

 Airport

0.88

 skyline

0.87

 Heights

0.87

 Municip

0.87

Activations Density 0.153%

proper nouns related to different locations

mentions of specific geographic locations

No Comments

No Known Activations