INDEX

Explanations

aspects related to service quality and improvement

oai_token-act-pair · gpt-4o-mini

Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.22.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

cerebras/SlimPajama-627B

Activation Function

relu

Embeds

IFrame

Link

Negative Logits

Ð¾Ð»ÑĮÐ½Ð¾

-0.15

Æ°Æ¡ng

-0.15

apter

-0.15

 æľĿ

-0.15

toi

-0.15

asma

-0.15

eyse

-0.14

âķĹ

-0.14

ï¸

-0.14

Ø§Ø¨ÛĮ

-0.14

POSITIVE LOGITS

 with

0.42

with

0.30

 dengan

0.29

 vá»Ľi

0.27

	with

0.26

 avec

0.26

 versus

0.25

 against

0.25

 into

0.23

 onto

0.23

Activations Density 0.081%

aspects related to service quality and improvement

No Known Activations