INDEX

Explanations

words related to locations or proper nouns

oai_token-act-pair · gpt-3.5-turbo

proper nouns or names associated with people and places

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 11-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.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

Fa

-0.88

Fa

-0.88

Nich

-0.87

 Stev

-0.87

 Stefan

-0.86

sha

-0.86

 Goldstein

-0.83

 Vick

-0.82

Sta

-0.81

 Shah

-0.81

POSITIVE LOGITS

ore

1.67

ORE

1.49

oren

1.34

ores

1.24

orian

1.05

orean

1.03

oring

1.01

 Bore

1.01

ares

1.00

 Lore

1.00

Activations Density 0.503%

words related to locations or proper nouns

proper nouns or names associated with people and places

No Comments

No Known Activations