INDEX

Explanations

specific keywords related to information, particularly focused on phrases containing words such as "which" and "who."

oai_token-act-pair · gpt-3.5-turbo

references to individuals or entities

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

 Vaugh

-0.68

 Dept

-0.57

 Grail

-0.57

 Darling

-0.57

 Buddy

-0.56

 Seym

-0.56

Sad

-0.56

Bye

-0.55

bye

-0.55

 Bris

-0.54

POSITIVE LOGITS

zbollah

0.84

psons

0.69

imes

0.65

embed

0.64

 Xperia

0.64

quished

0.64

"]=>

0.63

DragonMagazine

0.61

oshenko

0.60

;;;;;;;;;;;;

0.60

Activations Density 0.069%

specific keywords related to information, particularly focused on phrases containing words such as "which" and "who."

references to individuals or entities

No Comments

No Known Activations