INDEX

Explanations

terms related to dust and particulate matter in various contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 12-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L12R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.12.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

cerebras/SlimPajama-627B

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 addCriterion

-0.15

orners

-0.14

 Bauer

-0.14

ä¾§

-0.14

ãĥ³ãĥĶ

-0.14

agnost

-0.13

á»ĩ

-0.13

amar

-0.13

azes

-0.13

arden

-0.13

POSITIVE LOGITS

 particles

0.20

dust

0.19

 dust

0.18

ç²Ĵ

0.17

 particle

0.17

 catcher

0.17

 Dust

0.15

 Pant

0.15

iyat

0.15

LEM

0.14

Activations Density 0.239%

terms related to dust and particulate matter in various contexts

No Comments

No Known Activations

terms related to dust and particulate matter in various contexts

No Comments

No Known Activations