INDEX

Explanations

city names

oai_token-act-pair · gpt-3.5-turbo

references to sports teams and locations related to them

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.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

ABE

-0.50

 Endless

-0.44

arnaev

-0.43

bands

-0.42

erville

-0.41

 marrow

-0.41

cend

-0.41

 Shinra

-0.41

 Chern

-0.41

Ì

-0.40

POSITIVE LOGITS

©¶æ

0.50

estern

0.48

bleacher

0.48

ardless

0.47

raft

0.47

 tradem

0.46

ionage

0.44

ilaterally

0.43

roximately

0.43

ãģ®ç

0.43

Activations Density 4.368%

city names

references to sports teams and locations related to them

No Comments

No Known Activations