INDEX

Explanations

profession and job titles in organizational contexts

oai_token-act-pair · gpt-3.5-turbo

phrases indicating roles or positions held by individuals

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

llah

-0.74

hao

-0.72

root

-0.69

ross

-0.69

 gorge

-0.69

mort

-0.69

Russ

-0.67

Driver

-0.66

strip

-0.65

BR

-0.65

POSITIVE LOGITS

geries

0.95

 Sierra

0.78

 Strategic

0.76

gotten

0.75

 Tribal

0.74

 whom

0.74

gery

0.73

aging

0.73

 Borderlands

0.72

bidden

0.71

Activations Density 0.094%

profession and job titles in organizational contexts

phrases indicating roles or positions held by individuals

No Comments

No Known Activations