INDEX

Explanations

words related to specific physical locations or proper nouns

oai_token-act-pair · gpt-3.5-turbo

words that contain specific letter combinations or endings

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.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

TN

-0.77

Bright

-0.73

IJ

-0.72

wick

-0.68

 Scand

-0.66

 UNIVERS

-0.64

Nor

-0.63

Nap

-0.62

Kes

-0.62

Northern

-0.62

POSITIVE LOGITS

spir

0.71

boarding

0.68

emonic

0.67

xual

0.67

 versa

0.66

ctrl

0.65

clude

0.65

omial

0.65

atically

0.63

ically

0.63

Activations Density 0.227%

words related to specific physical locations or proper nouns

words that contain specific letter combinations or endings

No Comments

No Known Activations