INDEX

Explanations

keywords related to urban areas

oai_token-act-pair · gpt-3.5-turbo

references to urban environments and issues related to them

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 0-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.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

pload

-0.78

ND

-0.69

Pi

-0.69

ctrl

-0.69

 Cake

-0.69

 Immunity

-0.68

Thread

-0.67

witch

-0.67

 Shine

-0.66

robe

-0.66

POSITIVE LOGITS

 urban

3.42

Urban

2.48

urban

2.33

 Urban

2.18

 rural

1.88

 suburban

1.78

 cities

1.69

 metropolitan

1.68

 suburbs

1.45

 city

1.37

Activations Density 0.023%

keywords related to urban areas

references to urban environments and issues related to them

No Comments

No Known Activations