INDEX

Explanations

phrases related to specific locations, organizations, and technical terms in a text

oai_token-act-pair · gpt-3.5-turbo

references to specific organizations or institutions

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 5-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.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

enhagen

-0.62

eties

-0.60

ertation

-0.58

ruary

-0.57

ueller

-0.55

utsche

-0.53

 onset

-0.53

Ö¼

-0.52

 hamstring

-0.52

catentry

-0.52

POSITIVE LOGITS

aviour

0.65

Maker

0.60

wagen

0.59

âĦ¢:

0.59

IX

0.57

bats

0.56

jac

0.55

Dialogue

0.55

Tud

0.54

 guiActiveUnfocused

0.53

Activations Density 1.331%

phrases related to specific locations, organizations, and technical terms in a text

references to specific organizations or institutions

No Comments

No Known Activations