INDEX

Explanations

words related to specific entities or proper nouns

oai_token-act-pair · gpt-3.5-turbo

titles and names of entertainment and media properties

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

 referen

-0.79

 professionally

-0.73

 reperto

-0.71

 repertoire

-0.70

 weekday

-0.70

 detector

-0.68

 factual

-0.67

 lounge

-0.67

 exper

-0.66

 casualty

-0.66

POSITIVE LOGITS

 Darkness

0.91

ropy

0.89

stasy

0.89

nesia

0.89

aea

0.87

oneliness

0.86

bows

0.83

phans

0.82

archs

0.81

areth

0.81

Activations Density 0.212%

words related to specific entities or proper nouns

titles and names of entertainment and media properties

No Comments

No Known Activations