INDEX

Explanations

phrases related to medical conditions and locations, such as hospital names and specific medical terms

oai_token-act-pair · gpt-3.5-turbo

proper nouns or names, particularly related to people and places

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

insula

-0.77

lished

-0.76

structed

-0.73

kward

-0.72

illed

-0.72

Ĥª

-0.70

nels

-0.70

ilities

-0.65

sylvania

-0.63

ulated

-0.62

POSITIVE LOGITS

oyd

0.92

ibrary

0.92

yrics

0.89

ongevity

0.87

uania

0.82

 Luthor

0.81

utenant

0.78

uggage

0.78

estone

0.77

adders

0.75

Activations Density 0.159%

phrases related to medical conditions and locations, such as hospital names and specific medical terms

proper nouns or names, particularly related to people and places

No Comments

No Known Activations