INDEX

Explanations

words related to Brazilian locations and organizations

oai_token-act-pair · gpt-3.5-turbo

references to specific Brazilian 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

crew

-0.77

nut

-0.76

itionally

-0.74

oid

-0.72

MY

-0.71

IFIED

-0.70

NESS

-0.69

baugh

-0.68

iflower

-0.68

lake

-0.68

POSITIVE LOGITS

 Paulo

1.51

Ã£o

1.19

 Janeiro

1.00

vernment

0.91

 Portuguese

0.89

Jiu

0.88

 Lumpur

0.88

Sao

0.87

 Silva

0.85

 Marcos

0.85

Activations Density 0.024%

words related to Brazilian locations and organizations

references to specific Brazilian cities

No Comments

No Known Activations