INDEX

Explanations

phrases related to specific terms, such as company names, medical conditions, and programming languages

oai_token-act-pair · gpt-3.5-turbo

specific nouns or entities relevant to categorization and organization

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

hower

-0.70

ãĥĦ

-0.67

 Kessler

-0.67

ITNESS

-0.65

assian

-0.65

INTON

-0.65

keyes

-0.64

theless

-0.62

inventoryQuantity

-0.61

 Celt

-0.60

POSITIVE LOGITS

edIn

0.79

atism

0.69

tarians

0.69

deen

0.68

udeb

0.67

arios

0.66

efer

0.62

hett

0.61

TM

0.60

letal

0.58

Activations Density 0.430%

phrases related to specific terms, such as company names, medical conditions, and programming languages

specific nouns or entities relevant to categorization and organization

No Comments

No Known Activations