INDEX

Explanations

mentions of different types of shoes

oai_token-act-pair · gpt-3.5-turbo

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 11-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.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

yrinth

-0.75

enance

-0.74

icity

-0.73

anooga

-0.70

erest

-0.69

ENTS

-0.66

 inaccur

-0.66

KNOWN

-0.64

cture

-0.64

izons

-0.63

POSITIVE LOGITS

horn

1.10

toe

1.09

 shoes

1.01

prints

0.92

 footwear

0.92

 Shoes

0.88

 heel

0.88

 heels

0.87

 polish

0.87

 sneakers

0.87

Activations Density 0.063%

mentions of different types of shoes

No Comments

No Known Activations