INDEX

Explanations

words related to specific geographic locations, possibly focusing on a city or region named "Ver"

oai_token-act-pair · gpt-3.5-turbo

terms related to averages or averages in data context

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

 millenn

-0.87

erva

-0.81

emonic

-0.75

ĳå£«

-0.73

ĪĴ

-0.71

emic

-0.70

urized

-0.69

Ĥª

-0.69

ļé

-0.68

»Ĵ

-0.68

POSITIVE LOGITS

theless

1.29

aged

1.03

aging

0.99

agement

0.89

idge

0.85

vous

0.84

deen

0.84

ably

0.84

weight

0.84

ding

0.83

Activations Density 0.056%

words related to specific geographic locations, possibly focusing on a city or region named "Ver"

terms related to averages or averages in data context

No Comments

No Known Activations