INDEX

Explanations

words related to specific industries and fields, such as the restaurant industry, ebook market, financial sector, and college-educated individuals

oai_token-act-pair · gpt-3.5-turbo

terms related to various institutions, concepts, and societal issues

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

¶ħ

-0.79

olia

-0.72

outube

-0.69

thia

-0.69

itored

-0.69

Lt

-0.66

edIn

-0.66

borgh

-0.66

autions

-0.65

Fake

-0.65

POSITIVE LOGITS

osphere

1.17

 industry

1.03

 sphere

1.02

 element

1.00

 sector

0.98

 realm

0.97

era

0.95

 genre

0.94

 landscape

0.94

 renaissance

0.94

Activations Density 0.457%

words related to specific industries and fields, such as the restaurant industry, ebook market, financial sector, and college-educated individuals

terms related to various institutions, concepts, and societal issues

No Comments

No Known Activations