INDEX

Explanations

proper nouns referring to specific entities like people, places, and organizations

oai_token-act-pair · gpt-3.5-turbo

references to groups of people and examples of their experiences or behaviors

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

heid

-0.65

enium

-0.65

ysics

-0.62

otiation

-0.61

astern

-0.61

blast

-0.61

uild

-0.60

ustomed

-0.60

ulk

-0.60

]+

-0.58

POSITIVE LOGITS

 notable

0.95

 include

0.84

 noteworthy

0.83

orthy

0.82

 involves

0.78

 highlights

0.78

 includes

0.78

 included

0.72

%:

0.71

 however

0.69

Activations Density 0.381%

proper nouns referring to specific entities like people, places, and organizations

references to groups of people and examples of their experiences or behaviors

No Comments

No Known Activations