INDEX

Explanations

phrases related to hate and hate speech

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_fs6144-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_6144

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

6,144

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

aver

-0.82

agers

-0.74

 Pione

-0.73

UNCH

-0.72

aqu

-0.70

enture

-0.70

clinton

-0.69

 Cancel

-0.68

å§«

-0.68

inarily

-0.68

POSITIVE LOGITS

 hate

0.90

 crimes

0.89

fully

0.88

 mobs

0.82

 crime

0.81

 prejudice

0.81

fulness

0.80

 hatred

0.80

 vengeance

0.79

 speech

0.79

Activations Density 0.259%

phrases related to hate and hate speech

No Comments

No Known Activations