INDEX

Explanations

words related to theft and criminal activities

oai_token-act-pair · gpt-3.5-turbo Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 8-res_fs24576-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_24576

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

torch.float32

Hook Point

blocks.8.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

illac

-0.84

ube

-0.75

paren

-0.72

ellar

-0.72

xus

-0.70

iband

-0.70

Cola

-0.70

ixed

-0.69

mega

-0.69

travel

-0.68

POSITIVE LOGITS

 spree

1.20

 prevention

0.99

 theft

0.97

 Theft

0.97

 thefts

0.90

 robbery

0.88

 perpetrated

0.87

 rampage

0.83

 thieves

0.82

 detection

0.82

Activations Density 0.059%

words related to theft and criminal activities

No Comments

No Known Activations