INDEX

Explanations

references to metropolitan areas and population statistics

oai_token-act-pair · gpt-4o-mini

Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 29-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L29R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.29.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

cerebras/SlimPajama-627B

Activation Function

relu

Embeds

IFrame

Link

Negative Logits

åĽ½ãģ®

-0.16

lest

-0.14

Ð¼Ñĭ

-0.14

 Antarctica

-0.14

astreet

-0.14

marshal

-0.14

å¼ı

-0.14

emin

-0.14

eci

-0.14

 Nacional

-0.13

POSITIVE LOGITS

 metro

0.35

 Metro

0.33

 metropolitan

0.31

 greater

0.30

 Metropolitan

0.27

metro

0.27

 metros

0.26

Metro

0.26

 market

0.26

 Greater

0.26

Activations Density 0.156%

references to metropolitan areas and population statistics

No Known Activations