INDEX

Explanations

mentions of metropolitan areas

oai_token-act-pair · gpt-3.5-turbo

references to metropolitan areas or urban settings

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

uous

-0.76

roma

-0.75

 Inher

-0.72

ayn

-0.71

istry

-0.69

essee

-0.68

icate

-0.68

arna

-0.68

icious

-0.68

oti

-0.67

POSITIVE LOGITS

plex

0.98

 area

0.90

 metropolitan

0.89

econom

0.83

 metro

0.82

ropolitan

0.76

 areas

0.75

 Manila

0.75

 tracts

0.75

 region

0.72

Activations Density 0.017%

mentions of metropolitan areas

references to metropolitan areas or urban settings

No Comments

No Known Activations