INDEX

Explanations

terms related to theft and criminal activities

oai_token-act-pair · gpt-3.5-turbo

terms related to burglary and theft

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.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

SPA

-0.87

illac

-0.83

 Zucker

-0.77

iband

-0.73

EVA

-0.73

ellar

-0.71

ellen

-0.71

onga

-0.71

enei

-0.68

travel

-0.68

POSITIVE LOGITS

 burglary

1.06

 robbery

1.03

 burgl

0.99

 spree

0.97

 thefts

0.93

 theft

0.91

 prevention

0.90

 detection

0.89

 thief

0.88

 thieves

0.88

Activations Density 0.091%

terms related to theft and criminal activities

terms related to burglary and theft

No Comments

No Known Activations