INDEX

Explanations

names of government agencies and organizations

oai_token-act-pair · gpt-3.5-turbo

proper nouns related to organizations, entities, and notable subjects

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 4-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.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

Enlarge

-0.59

î

-0.53

 ..."

-0.50

``

-0.50

mx

-0.47

chel

-0.47

la

-0.47

berra

-0.46

upper

-0.46

âķĲâķĲ

-0.46

POSITIVE LOGITS

 cannot

0.65

 reverted

0.64

 underwent

0.63

 succeeded

0.63

 countered

0.61

rul

0.60

 experimented

0.56

 redeemed

0.56

 ceased

0.55

 shifted

0.55

Activations Density 1.043%

names of government agencies and organizations

proper nouns related to organizations, entities, and notable subjects

No Comments

No Known Activations