INDEX

Explanations

negative words related to discrimination and bias, especially focusing on sexism and homophobia

oai_token-act-pair · gpt-3.5-turbo

terms related to discrimination, particularly sexism and homophobia

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.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

VIS

-0.78

mination

-0.78

vision

-0.78

unes

-0.76

Package

-0.74

aper

-0.73

noon

-0.72

plan

-0.71

leaf

-0.70

ICA

-0.70

POSITIVE LOGITS

 slurs

1.25

 homophobic

1.06

ophobic

1.03

 prejud

0.98

 prejudice

0.96

 misogyn

0.96

 bigot

0.91

 sexist

0.89

ophobia

0.88

 homophobia

0.86

Activations Density 0.044%

negative words related to discrimination and bias, especially focusing on sexism and homophobia

terms related to discrimination, particularly sexism and homophobia

No Comments

No Known Activations