INDEX

Explanations

phrases related to health care, medical conditions, and medical industry terms

oai_token-act-pair · gpt-3.5-turbo

negative sentiments related to health and care topics

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

Fay

-0.76

 sockets

-0.74

 Cthulhu

-0.73

Ell

-0.72

 lengths

-0.71

 Pyth

-0.71

 Clyde

-0.70

 alle

-0.69

 Unicode

-0.68

Sly

-0.68

POSITIVE LOGITS

related

1.32

themed

1.29

friendly

1.28

science

1.27

technical

1.26

engineering

1.21

policy

1.20

minded

1.18

sav

1.18

oriented

1.18

Activations Density 0.132%

phrases related to health care, medical conditions, and medical industry terms

negative sentiments related to health and care topics

No Comments

No Known Activations