INDEX

Explanations

mentions of weather-related agencies or organizations

oai_token-act-pair · gpt-3.5-turbo

terms related to meteorological agencies and weather conditions in Japan

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

uliffe

-0.90

BLM

-0.88

 Alexandria

-0.84

 Webb

-0.82

 loaf

-0.80

 Gibbs

-0.80

Virginia

-0.79

espie

-0.79

 Dixon

-0.79

 Malone

-0.78

POSITIVE LOGITS

 Japan

1.89

Japanese

1.83

 Japanese

1.83

 Tokyo

1.78

Japan

1.78

Tok

1.73

 Osaka

1.73

 Fuji

1.65

 Hiro

1.56

 Yosh

1.54

Activations Density 0.404%

mentions of weather-related agencies or organizations

terms related to meteorological agencies and weather conditions in Japan

No Comments

No Known Activations