INDEX

Explanations

mentions of movie theaters

oai_token-act-pair · gpt-3.5-turbo

mentions of movie theaters

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

pages

-0.80

doms

-0.77

laus

-0.76

opher

-0.71

LER

-0.69

TON

-0.64

erous

-0.63

vous

-0.63

eros

-0.62

drawn

-0.62

POSITIVE LOGITS

 theaters

1.05

 theater

1.00

 Theater

0.90

goers

0.87

 kios

0.85

 theat

0.82

plex

0.82

 theatre

0.81

 Royale

0.77

ror

0.71

Activations Density 0.012%

mentions of movie theaters

mentions of movie theaters

No Comments

No Known Activations