INDEX

Explanations

phrases related to demographics and categorizations

oai_token-act-pair · gpt-3.5-turbo

references to demographic categories and their significance or comparison

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 3-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.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

CHAT

-0.53

 Griffith

-0.52

anwhile

-0.51

IRC

-0.48

 Keller

-0.48

 Patterson

-0.48

 Marriott

-0.47

 FEMA

-0.47

odcast

-0.47

 unfocusedRange

-0.47

POSITIVE LOGITS

 imaginable

0.76

 toget

0.66

 whatsoever

0.65

 nodd

0.62

 arrang

0.62

.<

0.60

.</

0.58

 vulner

0.58

 gobl

0.57

 fodder

0.54

Activations Density 3.027%

phrases related to demographics and categorizations

references to demographic categories and their significance or comparison

No Comments

No Known Activations