INDEX

Explanations

the word "many" followed by different types of contexts, such as time frames, situations, and quantities

oai_token-act-pair · gpt-3.5-turbo

the word "many" and its frequency of occurrence

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

acus

-0.94

adish

-0.84

roup

-0.72

atum

-0.72

atism

-0.70

oulos

-0.68

IPP

-0.67

onomy

-0.67

ocracy

-0.66

agate

-0.66

POSITIVE LOGITS

 times

1.00

body

0.85

 facets

0.83

 iterations

0.82

 dozen

0.81

 nights

0.81

een

0.79

 aspects

0.77

 hundred

0.77

 kinds

0.75

Activations Density 0.068%

the word "many" followed by different types of contexts, such as time frames, situations, and quantities

the word "many" and its frequency of occurrence

No Comments

No Known Activations