INDEX

Explanations

names related to movies or individuals in the entertainment industry

oai_token-act-pair · gpt-3.5-turbo

words containing the substring "av" with high frequency

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

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 commissions

-0.67

reddits

-0.65

*/(

-0.64

 axes

-0.64

mot

-0.62

Reviewed

-0.61

ocene

-0.60

Balt

-0.60

arnaev

-0.60

plet

-0.59

POSITIVE LOGITS

atis

0.69

amins

0.68

 Kane

0.66

 Kemp

0.66

çĲ

0.64

Ree

0.64

 Lynch

0.64

»Ĵ

0.63

AIDS

0.63

ILE

0.61

Activations Density 0.107%

names related to movies or individuals in the entertainment industry

words containing the substring "av" with high frequency

No Comments

No Known Activations