INDEX

Explanations

words related to soccer clubs or teams

oai_token-act-pair · gpt-3.5-turbo

mentions of "FC" followed by numerical identifiers related to football clubs or matches

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

lihood

-0.85

Downloadha

-0.71

mond

-0.68

strument

-0.65

bilt

-0.64

ously

-0.64

cler

-0.63

xual

-0.62

tenance

-0.62

beit

-0.62

POSITIVE LOGITS

ORE

0.87

RIC

0.84

erning

0.83

AT

0.80

Ĥª

0.79

 Cincinnati

0.76

WD

0.76

Wim

0.75

urrent

0.75

VII

0.74

Activations Density 0.019%

words related to soccer clubs or teams

mentions of "FC" followed by numerical identifiers related to football clubs or matches

No Comments

No Known Activations