INDEX

Explanations

phrases related to different industries and cultures around the world

oai_token-act-pair · gpt-3.5-turbo

industries and cultural practices related to food and health

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

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

apego

-0.63

itely

-0.62

TPPStreamerBot

-0.62

ocious

-0.62

adr

-0.61

eness

-0.60

urat

-0.60

 kicker

-0.59

arching

-0.59

rade

-0.58

POSITIVE LOGITS

,[

0.83

 worldwide

0.82

 nowadays

0.82

 circles

0.78

 alike

0.76

.[

0.76

 à¨

0.75

 contexts

0.74

 whereby

0.72

âĢł

0.71

Activations Density 0.423%

phrases related to different industries and cultures around the world

industries and cultural practices related to food and health

No Comments

No Known Activations