INDEX

Explanations

proper nouns likely related to a specific book, character, or author

oai_token-act-pair · gpt-3.5-turbo

mentions of specific names or terms related to people and concepts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 4-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.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

 trickle

-0.71

phrine

-0.70

uations

-0.65

 livest

-0.64

formance

-0.62

conn

-0.61

hazard

-0.60

cop

-0.60

Jul

-0.60

haust

-0.60

POSITIVE LOGITS

mallow

1.36

adow

1.09

ield

0.95

arsh

0.93

rawdownloadcloneembedreportprint

0.88

iewicz

0.82

athi

0.81

atar

0.78

cliffe

0.76

auna

0.76

Activations Density 0.011%

proper nouns likely related to a specific book, character, or author

mentions of specific names or terms related to people and concepts

No Comments

No Known Activations