INDEX

Explanations

proper nouns related to names of individuals and organizations

oai_token-act-pair · gpt-3.5-turbo

proper nouns related to people, companies, or locations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 0-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.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

hua

-0.78

nels

-0.78

NRS

-0.77

kef

-0.75

Golden

-0.70

nih

-0.68

 Wolves

-0.67

Coach

-0.67

ungle

-0.67

GMT

-0.66

POSITIVE LOGITS

 Archer

2.78

ARM

1.75

 Arri

1.58

Ard

1.53

 Arlington

1.46

Ar

1.43

Tai

1.30

Ars

1.29

 Arnold

1.28

 Argent

1.27

Activations Density 0.040%

proper nouns related to names of individuals and organizations

proper nouns related to people, companies, or locations

No Comments

No Known Activations