INDEX

Explanations

phrases related to movies and entertainment industry, specifically focusing on appearances on the big screen

oai_token-act-pair · gpt-3.5-turbo

references to "screen" related to films or visual media

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 4-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.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

 deleg

-0.69

ipop

-0.68

Esk

-0.67

onomic

-0.65

 Upton

-0.63

 Harriet

-0.63

 grieving

-0.63

ton

-0.61

 accrued

-0.60

 horrend

-0.60

POSITIVE LOGITS

plays

1.28

writer

1.13

writers

1.11

screen

1.01

TVs

0.96

writing

0.95

 screens

0.89

Screen

0.86

 Screen

0.81

gallery

0.81

Activations Density 0.013%

phrases related to movies and entertainment industry, specifically focusing on appearances on the big screen

references to "screen" related to films or visual media

No Comments

No Known Activations