INDEX

Explanations

entities and names related to medical conditions

oai_token-act-pair · gpt-3.5-turbo

specific suffixes and endings of words

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

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

DragonMagazine

-0.74

posted

-0.70

é»Ĵ

-0.67

sheet

-0.61

zyme

-0.61

NPR

-0.60

polit

-0.59

Reloaded

-0.59

×ķ

-0.59

Ware

-0.59

POSITIVE LOGITS

cular

0.90

zees

0.74

arella

0.74

ixture

0.71

ller

0.70

zee

0.70

utics

0.70

isky

0.69

utical

0.69

inness

0.68

Activations Density 0.413%

entities and names related to medical conditions

specific suffixes and endings of words

No Comments

No Known Activations