INDEX

Explanations

phrases related to machinery and equipment in mining and construction

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 19-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L19R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.19.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

 Fauc

-0.17

æ£

-0.14

chluss

-0.14

enity

-0.14

 Gross

-0.13

 Cotton

-0.13

olut

-0.13

enie

-0.13

angler

-0.13

gross

-0.13

POSITIVE LOGITS

 crushers

0.30

 crusher

0.29

 crushing

0.28

jaw

0.26

 Crusher

0.25

 Crushing

0.25

 Crushers

0.24

Jaw

0.22

 stone

0.21

 crush

0.21

Activations Density 0.203%

phrases related to machinery and equipment in mining and construction

No Comments

No Known Activations