INDEX

Explanations

cities or locations in diverse countries

oai_token-act-pair · gpt-3.5-turbo

variations of the word "ave" and its derivatives in different contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

ngth

-0.73

 entitlement

-0.62

MAT

-0.58

look

-0.56

grave

-0.56

meal

-0.56

 vanity

-0.56

seekers

-0.56

aminer

-0.54

bringer

-0.53

POSITIVE LOGITS

irus

1.16

ille

1.04

enture

1.00

osaurus

0.92

oir

0.91

iral

0.91

irtual

0.87

ois

0.87

iste

0.86

anes

0.86

Activations Density 0.044%

cities or locations in diverse countries

variations of the word "ave" and its derivatives in different contexts

No Comments

No Known Activations