INDEX

Explanations

phrases related to governmental agencies and regulations, specifically those related to food and drugs

oai_token-act-pair · gpt-3.5-turbo

references to food and health-related 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

 Duchess

-0.71

 Triangle

-0.68

 Rutherford

-0.67

pole

-0.65

IDENT

-0.63

 PRESIDENT

-0.61

 Sakuya

-0.60

 Cosponsors

-0.60

 Prescott

-0.59

RGB

-0.59

POSITIVE LOGITS

 beverage

1.25

 drink

1.23

 beverages

1.20

 drinks

0.99

 Drink

0.95

 medicine

0.94

 nutrition

0.87

 medicines

0.86

 thirsty

0.84

 clothing

0.84

Activations Density 0.181%

phrases related to governmental agencies and regulations, specifically those related to food and drugs

references to food and health-related topics

No Comments

No Known Activations