INDEX

Explanations

male pronouns associated with medical situations being rushed to hospitals or suffering injuries

oai_token-act-pair · gpt-3.5-turbo

references to individuals and their actions in a narrative context

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

•male

No Comments

Negative Logits

 awarding

-0.76

ablishment

-0.72

 prescribing

-0.69

dp

-0.68

 recommending

-0.68

é¾įå¥ĳå£«

-0.67

 Publishing

-0.66

 endorsements

-0.65

 Creating

-0.65

 appointing

-0.63

POSITIVE LOGITS

 underwent

1.40

 suffered

1.30

 survived

1.29

 disappeared

1.27

 escaped

1.24

 died

1.22

 wandered

1.17

 vanished

1.13

 fled

1.10

 suffers

1.09

Activations Density 0.521%

male pronouns associated with medical situations being rushed to hospitals or suffering injuries

references to individuals and their actions in a narrative context

No Comments

No Known Activations