INDEX

Explanations

proper nouns related to various individuals and companies

oai_token-act-pair · gpt-3.5-turbo

words related to individuals or entities involved in legal or criminal contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 3-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.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

 ancest

-0.81

yip

-0.74

 commissions

-0.71

 smugglers

-0.68

soDeliveryDate

-0.67

 quarters

-0.65

izoph

-0.64

 hundred

-0.62

 densely

-0.62

ongyang

-0.61

POSITIVE LOGITS

uve

0.85

ãĥīãĥ©ãĤ´ãĥ³

0.84

atis

0.73

arde

0.72

uay

0.71

arie

0.70

EVA

0.69

hire

0.68

amines

0.68

ment

0.67

Activations Density 0.217%

proper nouns related to various individuals and companies

words related to individuals or entities involved in legal or criminal contexts

No Comments

No Known Activations