INDEX

Explanations

references to different types of buildings where events are taking place

oai_token-act-pair · gpt-3.5-turbo

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

ussian

-0.84

DragonMagazine

-0.71

annot

-0.71

irtual

-0.67

obin

-0.65

 gloss

-0.64

ansson

-0.62

iband

-0.62

 journeys

-0.62

olin

-0.61

POSITIVE LOGITS

 premises

0.97

tyard

0.92

 precinct

0.85

 located

0.84

 unlawfully

0.83

 clubhouse

0.82

 perimeter

0.82

 adjoining

0.81

 courtyard

0.80

 frequ

0.80

Activations Density 0.255%

references to different types of buildings where events are taking place

No Comments

No Known Activations