INDEX

Explanations

specific organizational or company names and their associated impact in various sectors

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 15-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L15R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.15.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

.mit

-0.16

-0.15

oter

-0.15

ãĥ

-0.15

moth

-0.14

opak

-0.14

áº«n

-0.14

Orc

-0.14

PointSize

-0.14

Unified

-0.13

POSITIVE LOGITS

illis

0.16

ctl

0.15

enia

0.15

avin

0.15

eum

0.14

oders

0.14

ä¸

0.14

 kÃ¥

0.14

competition

0.13

ju

0.13

Activations Density 0.093%

specific organizational or company names and their associated impact in various sectors

No Comments

No Known Activations