INDEX

Explanations

European countries, with a focus on France

oai_token-act-pair · gpt-3.5-turbo

mentions of France and its variations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.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

iary

-1.01

iated

-0.84

iations

-0.82

ividual

-0.81

iates

-0.80

regor

-0.80

atari

-0.80

iating

-0.76

ication

-0.75

uilt

-0.74

POSITIVE LOGITS

 fries

0.96

 Alps

0.89

 Hollande

0.82

 franc

0.78

bourg

0.77

Riv

0.76

men

0.75

ois

0.75

 satirical

0.75

 Franc

0.71

Activations Density 0.036%

European countries, with a focus on France

mentions of France and its variations

No Comments

No Known Activations