INDEX

Explanations

proper nouns related to countries

oai_token-act-pair · gpt-3.5-turbo

references to specific geographic locations and notable individuals

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 1-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.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

hower

-0.80

istered

-0.74

fields

-0.72

illon

-0.65

elsen

-0.63

 mashed

-0.62

oak

-0.61

ault

-0.61

agne

-0.61

ively

-0.61

POSITIVE LOGITS

Kyr

1.23

 opio

1.00

zbek

0.87

uador

0.86

istan

0.80

Ń·

0.79

aido

0.77

acan

0.75

izoph

0.74

luster

0.72

Activations Density 0.017%

proper nouns related to countries

references to specific geographic locations and notable individuals

No Comments

No Known Activations