INDEX

Explanations

keywords related to cinema or films

oai_token-act-pair · gpt-3.5-turbo

references to cinema and filmmaking

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 0-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.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

 Spice

-0.71

 Roundup

-0.67

 Seed

-0.67

 Carnival

-0.64

\(

-0.64

USB

-0.62

 Tong

-0.61

 Guinea

-0.60

 provisional

-0.60

seed

-0.59

POSITIVE LOGITS

inem

4.33

 Cinem

0.98

iner

0.96

INO

0.90

inel

0.90

udos

0.89

{\

0.88

andem

0.87

isine

0.86

mos

0.85

Activations Density 0.034%

keywords related to cinema or films

references to cinema and filmmaking

No Comments

No Known Activations