INDEX

Explanations

references to movies

oai_token-act-pair · gpt-3.5-turbo

references to movies or cinematic elements

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 2-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.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

raham

-0.72

existent

-0.71

cffff

-0.69

²¾

-0.68

 broken

-0.67

bleacher

-0.66

ĵĺ

-0.65

uckles

-0.65

minded

-0.63

omaly

-0.62

POSITIVE LOGITS

 theater

1.08

 theaters

1.07

goers

1.02

 movie

0.99

 theatre

0.99

 movies

0.95

 theat

0.90

movie

0.88

Movie

0.86

arium

0.85

Activations Density 0.038%

references to movies

references to movies or cinematic elements

No Comments

No Known Activations