INDEX

Explanations

words related to profanity or inappropriate language

oai_token-act-pair · gpt-3.5-turbo

terms related to professional or profane contexts

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

-0.86

wolves

-0.83

warm

-0.82

forth

-0.77

wolf

-0.74

MENTS

-0.72

WAYS

-0.71

MENT

-0.67

 Nebula

-0.66

nuts

-0.65

POSITIVE LOGITS

 prof

1.19

essor

0.96

iler

0.94

essors

0.92

iled

0.91

luent

0.91

usion

0.89

eatures

0.88

icol

0.88

iles

0.87

Activations Density 0.009%

words related to profanity or inappropriate language

terms related to professional or profane contexts

No Comments

No Known Activations