INDEX

Explanations

specific names of locations and entities

oai_token-act-pair · gpt-3.5-turbo

proper nouns, specifically names of people or places

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

 WATCHED

-0.68

 Surviv

-0.68

 Pastebin

-0.66

 irresist

-0.65

ILE

-0.65

 prematurely

-0.64

UME

-0.63

 compan

-0.63

debian

-0.62

ccording

-0.62

POSITIVE LOGITS

stown

1.38

ville

1.27

burg

1.07

 Creek

1.07

 Valley

1.03

town

1.02

hurst

1.01

 Brothers

0.99

 Downs

0.98

 County

0.97

Activations Density 0.274%

specific names of locations and entities

proper nouns, specifically names of people or places

No Comments

No Known Activations