INDEX

Explanations

proper nouns of city names

oai_token-act-pair · gpt-3.5-turbo

mentions of city names

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

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

vana

-0.91

thood

-0.72

arial

-0.70

arist

-0.70

rations

-0.69

udic

-0.68

merce

-0.66

avorite

-0.65

 sacrific

-0.65

acca

-0.65

POSITIVE LOGITS

 skyline

1.07

 City

0.99

 suburb

0.98

 metro

0.97

 County

0.94

 Metropolitan

0.94

 Heights

0.94

 Airport

0.92

 metropolitan

0.91

 Downtown

0.91

Activations Density 0.142%

proper nouns of city names

mentions of city names

No Comments

No Known Activations