INDEX

Explanations

words related to specific locations or areas, especially those inhabited by communities or with specific landmarks

oai_token-act-pair · gpt-3.5-turbo

references to geographic locations and the communities associated with them

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 3-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.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

DOJ

-0.69

 FOIA

-0.68

 McCabe

-0.65

apple

-0.65

xon

-0.65

DOD

-0.63

 Conway

-0.62

Adams

-0.62

Todd

-0.62

pard

-0.62

POSITIVE LOGITS

 labou

0.93

 Rohing

0.86

 Yuan

0.80

 organise

0.77

 villagers

0.74

 Rohingya

0.74

 å¤

0.74

 organising

0.71

 Tanz

0.71

ÅĤ

0.71

Activations Density 1.221%

words related to specific locations or areas, especially those inhabited by communities or with specific landmarks

references to geographic locations and the communities associated with them

No Comments

No Known Activations