INDEX

Explanations

phrases related to promoting good and preventing harm, particularly in relation to children and vulnerable populations

oai_token-act-pair · gpt-3.5-turbo

sentiment regarding the protection and well-being of children

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

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

catentry

-0.81

framework

-0.77

ãĤ´ãĥ³

-0.76

utenberg

-0.74

phas

-0.69

 Priebus

-0.68

 succinct

-0.68

 predecessor

-0.67

canon

-0.67

 Canaver

-0.66

POSITIVE LOGITS

 raped

1.18

 victimized

1.15

 raping

1.06

 suffering

1.06

 harmed

0.99

 hurt

0.98

 hurting

0.98

 abuser

0.97

 suffer

0.97

 harms

0.97

Activations Density 0.532%

phrases related to promoting good and preventing harm, particularly in relation to children and vulnerable populations

sentiment regarding the protection and well-being of children

No Comments

No Known Activations