INDEX

Explanations

locations or scenarios involving a coffee shop

oai_token-act-pair · gpt-3.5-turbo

mentions of coffee and coffee-related establishments

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

ROR

-0.79

orse

-0.75

oppable

-0.73

yss

-0.69

Population

-0.69

lihood

-0.69

 Caldwell

-0.68

 newcom

-0.66

numbered

-0.66

oral

-0.65

POSITIVE LOGITS

 beans

1.21

 Beans

1.15

 bean

1.05

 brewed

1.04

 coffee

1.00

 cups

0.96

 drip

0.95

weed

0.94

 brewing

0.92

 coff

0.91

Activations Density 0.011%

locations or scenarios involving a coffee shop

mentions of coffee and coffee-related establishments

No Comments

No Known Activations