INDEX

Explanations

mentions of specific urban features, particularly streets

oai_token-act-pair · gpt-3.5-turbo

terms related to streets and urban environments

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 11-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.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

merce

-0.72

xit

-0.70

emort

-0.69

xus

-0.68

emonic

-0.66

 WARN

-0.66

essee

-0.64

akeru

-0.64

opsis

-0.62

uchin

-0.61

POSITIVE LOGITS

cars

1.28

lights

1.15

wear

0.99

cape

0.99

light

0.95

walker

0.94

fighter

0.93

 corners

0.90

car

0.88

walk

0.88

Activations Density 0.053%

mentions of specific urban features, particularly streets

terms related to streets and urban environments

No Comments

No Known Activations