INDEX

Explanations

discussions on performance-related features of sportswear and their impact on the end user

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

Not in Any Lists

No Comments

Negative Logits

 Ð¿Ð»

-0.15

 vase

-0.15

uned

-0.15

 Heath

-0.14

mah

-0.14

ary

-0.14

rians

-0.14

anded

-0.14

plate

-0.14

aiser

-0.14

POSITIVE LOGITS

 Gore

0.25

 layer

0.22

Layer

0.21

layer

0.20

pon

0.20

 breathable

0.20

 layers

0.20

 Layer

0.19

bib

0.19

 gore

0.19

Activations Density 0.065%

discussions on performance-related features of sportswear and their impact on the end user

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