INDEX

Explanations

words related to the film industry, particularly Hollywood

oai_token-act-pair · gpt-3.5-turbo

references to films and the film industry

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.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

rique

-0.83

orget

-0.73

ptoms

-0.70

jri

-0.70

ursed

-0.69

usra

-0.69

urion

-0.68

ascus

-0.67

pex

-0.66

ntil

-0.66

POSITIVE LOGITS

 portraying

0.97

 starring

0.92

 portrayal

0.90

 portrays

0.90

 films

0.88

 portray

0.87

 film

0.87

 movie

0.86

 depicting

0.86

 movies

0.84

Activations Density 0.393%

words related to the film industry, particularly Hollywood

references to films and the film industry

No Comments

No Known Activations