INDEX

Explanations

names of places, companies, and people

oai_token-act-pair · gpt-3.5-turbo

references to specific acronyms or abbreviations

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

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

shaw

-0.64

lahoma

-0.64

certain

-0.64

taboola

-0.63

 reassuring

-0.62

atorial

-0.62

rooms

-0.61

angered

-0.60

jah

-0.60

 raise

-0.60

POSITIVE LOGITS

RP

1.26

FK

1.24

KI

1.23

WT

1.23

LP

1.22

FU

1.20

DF

1.20

BN

1.18

JA

1.17

MR

1.16

Activations Density 0.150%

names of places, companies, and people

references to specific acronyms or abbreviations

No Comments

No Known Activations