INDEX

Explanations

proper nouns related to people or organizations, specifically those with the word "Mah" in them

oai_token-act-pair · gpt-3.5-turbo

mentions of the name "Mah" in various contexts

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

chnology

-0.95

CLUS

-0.80

eering

-0.74

OPLE

-0.73

eers

-0.70

 Anaheim

-0.68

PORT

-0.67

DragonMagazine

-0.67

 Ames

-0.66

ACTED

-0.65

POSITIVE LOGITS

oney

1.13

itary

1.12

ieu

1.06

omed

1.04

ayan

0.99

oning

0.99

jong

0.99

oub

0.95

oku

0.95

oka

0.94

Activations Density 0.021%

proper nouns related to people or organizations, specifically those with the word "Mah" in them

mentions of the name "Mah" in various contexts

No Comments

No Known Activations