INDEX

Explanations

proper nouns related to locations, specifically focused on Queensland

oai_token-act-pair · gpt-3.5-turbo

mentions of Queensland and Brisbane

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

ments

-0.86

igmat

-0.79

 Lauder

-0.76

andise

-0.74

ãĥīãĥ©

-0.73

APE

-0.73

anto

-0.69

ographed

-0.67

bilt

-0.66

inav

-0.65

POSITIVE LOGITS

er

0.84

eros

0.79

eling

0.76

ers

0.76

senal

0.76

SourceFile

0.75

aries

0.75

 Nickel

0.75

eer

0.71

ist

0.68

Activations Density 0.073%

proper nouns related to locations, specifically focused on Queensland

mentions of Queensland and Brisbane

No Comments

No Known Activations

proper nouns related to locations, specifically focused on Queensland

mentions of Queensland and Brisbane

No Comments

No Known Activations