INDEX

Explanations

issues related to cooking temperature and efficiency in ovens

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 23-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L23R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.23.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

 poles

-0.16

 pole

-0.14

 Ð¿ÐµÑĢÐµÐ³

-0.14

chg

-0.14

trys

-0.13

 partially

-0.13

 demonstr

-0.13

ordin

-0.13

POSITIVE LOGITS

 uniform

0.50

uniform

0.42

Uniform

0.42

 Uniform

0.40

.uniform

0.33

_uniform

0.32

 evenly

0.31

 uniforms

0.30

åĿĩ

0.29

 uniformly

0.29

Activations Density 0.206%

issues related to cooking temperature and efficiency in ovens

No Comments

No Known Activations

issues related to cooking temperature and efficiency in ovens

No Comments

No Known Activations