INDEX

Explanations

terms and phrases related to medical conditions and their classifications

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 5-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L5R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.5.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

æľĭ

-0.14

essian

-0.14

ake

-0.14

ancock

-0.14

ervers

-0.14

celik

-0.14

 Dien

-0.13

ousel

-0.13

ening

-0.13

ached

-0.13

POSITIVE LOGITS

ville

0.14

vant

0.13

hire

0.13

Lif

0.13

/py

0.13

/****************************************************************************↵

0.13

nia

0.12

ëĮĢë¡ľ

0.12

Activations Density 2.339%

terms and phrases related to medical conditions and their classifications

No Comments

No Known Activations