INDEX

Explanations

countries and specific locations

oai_token-act-pair · gpt-3.5-turbo

names of countries or cities

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.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

OHN

-0.72

»Ĵ

-0.71

 Crusher

-0.68

 Norn

-0.68

=#

-0.67

 ãĤµ

-0.66

 Mori

-0.64

Marginal

-0.63

ãĥ¥

-0.63

 Schultz

-0.62

POSITIVE LOGITS

iest

0.89

ÃŃs

0.78

lez

0.73

's

0.72

ottest

0.72

exclusive

0.67

aunted

0.66

 incarn

0.66

 contemporaries

0.64

chest

0.64

Activations Density 0.279%

countries and specific locations

names of countries or cities

No Comments

No Known Activations