INDEX

Explanations

phrases related to medical injuries and treatments

oai_token-act-pair · gpt-3.5-turbo

words related to consumer products and their characteristics

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 0-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.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

 Kemp

-0.74

 Borders

-0.74

 Downs

-0.73

 Browne

-0.71

 Duterte

-0.70

Klu

-0.69

 Kham

-0.68

 homophobia

-0.67

 edited

-0.67

 Yanukovych

-0.67

POSITIVE LOGITS

umer

3.42

umers

2.09

amic

1.70

acer

1.56

umbs

1.54

amus

1.53

umeric

1.52

acci

1.52

umbers

1.47

ibel

1.43

Activations Density 0.035%

phrases related to medical injuries and treatments

words related to consumer products and their characteristics

No Comments

No Known Activations