INDEX

Explanations

names of Japanese individuals and companies

oai_token-act-pair · gpt-3.5-turbo

names and proper nouns, particularly those related to individuals and brands

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 1-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.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

ciating

-0.78

 Flavoring

-0.78

icity

-0.78

ICE

-0.77

ATING

-0.77

-0.76

estern

-0.76

DragonMagazine

-0.74

Ø¨

-0.73

JFK

-0.73

POSITIVE LOGITS

terness

0.88

uy

0.87

awei

0.87

 seiz

0.86

 Mits

0.84

ura

0.82

uno

0.82

ugi

0.82

erity

0.79

una

0.78

Activations Density 0.010%

names of Japanese individuals and companies

names and proper nouns, particularly those related to individuals and brands

No Comments

No Known Activations