INDEX

Explanations

proper nouns related to city or town names

oai_token-act-pair · gpt-3.5-turbo

references to cities and towns

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

wcsstore

-0.83

potion

-0.79

BILITIES

-0.77

UGE

-0.73

olson

-0.71

anson

-0.68

xual

-0.68

ellow

-0.65

antom

-0.65

XT

-0.64

POSITIVE LOGITS

of

0.86

 vicinity

0.84

 outskirts

0.82

 suburb

0.78

 suburbs

0.78

Tay

0.74

 confines

0.74

 Kuala

0.72

Abu

0.71

Bam

0.71

Activations Density 0.112%

proper nouns related to city or town names

references to cities and towns

No Comments

No Known Activations