INDEX

Explanations

mentions of locations related to cinema, film screenings, and cinematography

oai_token-act-pair · gpt-3.5-turbo

references to cinema and films

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

lies

-0.87

nesses

-0.85

ional

-0.74

itudinal

-0.71

lers

-0.68

tnc

-0.67

doms

-0.67

lying

-0.67

laus

-0.66

le

-0.66

POSITIVE LOGITS

ovies

0.88

goers

0.79

 projector

0.78

 cinem

0.76

 premie

0.72

 studios

0.71

 Atmosp

0.71

atography

0.71

 Kubrick

0.70

 theaters

0.70

Activations Density 0.052%

mentions of locations related to cinema, film screenings, and cinematography

references to cinema and films

No Comments

No Known Activations