INDEX

Explanations

names of military units and organizations

oai_token-act-pair · gpt-3.5-turbo

proper nouns related to specific titles, names, and brands

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 8-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.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

è£ħ

-0.76

pod

-0.66

bush

-0.66

ä

-0.64

 Brennan

-0.63

é¾įå¥ĳå£«

-0.62

Hunt

-0.62

rawdownloadcloneembedreportprint

-0.61

CBC

-0.61

 Hodg

-0.61

POSITIVE LOGITS

ioxide

0.86

atoes

0.80

»

0.80

©

0.80

teenth

0.77

asures

0.74

acies

0.73

gments

0.73

usters

0.71

Ń

0.70

Activations Density 0.152%

names of military units and organizations

proper nouns related to specific titles, names, and brands

No Comments

No Known Activations