INDEX

Explanations

phrases related to cause and effect dynamics in business or technology contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 2-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L2R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.2.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

ÅĤaw

-0.15

iets

-0.15

adium

-0.15

oola

-0.15

Maj

-0.14

nod

-0.14

ofs

-0.14

ento

-0.14

ÑĥÐ»Ñİ

-0.14

_ONCE

-0.14

POSITIVE LOGITS

ì§

0.15

 HÃ¼s

0.15

 KÃ¼r

0.14

yleft

0.14

 Bender

0.14

 Stones

0.14

 Connectivity

0.14

_TestCase

0.14

/Foundation

0.14

Activations Density 0.988%

phrases related to cause and effect dynamics in business or technology contexts

No Comments

No Known Activations