INDEX

Explanations

phrases related to labels and ingredients in products

oai_token-act-pair · gpt-3.5-turbo

references to drug regulation and labeling issues

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

 vantage

-0.95

Lenin

-0.87

Writ

-0.78

 secession

-0.76

Unity

-0.75

ysc

-0.72

unity

-0.71

ghost

-0.71

fuck

-0.71

 chess

-0.70

POSITIVE LOGITS

FDA

1.63

 manufacturers

1.37

 additives

1.37

 marketed

1.35

 products

1.31

 pharmaceutical

1.29

 adul

1.24

 glyphosate

1.23

 chemicals

1.23

 contaminants

1.22

Activations Density 0.881%

phrases related to labels and ingredients in products

references to drug regulation and labeling issues

No Comments

No Known Activations