INDEX

Explanations

names of countries and cities

oai_token-act-pair · gpt-3.5-turbo

names of specific locations and entities

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.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

pic

-0.59

chi

-0.57

 cows

-0.57

bon

-0.57

Kab

-0.56

 vacuum

-0.55

pic

-0.55

å§

-0.54

 neur

-0.54

cc

-0.54

POSITIVE LOGITS

essions

0.68

azines

0.62

port

0.62

anguages

0.61

angel

0.60

henko

0.59

perture

0.58

idae

0.58

 UNHCR

0.57

bilt

0.57

Activations Density 0.277%

names of countries and cities

names of specific locations and entities

No Comments

No Known Activations