INDEX

Explanations

references to aviation incidents and regulations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 31-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L31R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.31.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

IPHER

-0.17

æľºåľº

-0.17

 Airport

-0.16

HDR

-0.16

omap

-0.15

Airport

-0.15

_UNUSED

-0.15

zon

-0.15

HSV

-0.15

ÃŃrk

-0.14

POSITIVE LOGITS

MAX

0.34

 Lion

0.32

MC

0.31

 Ethiopian

0.31

Max

0.29

MAX

0.28

 Ethiopia

0.28

 software

0.27

MC

0.25

 Boeing

0.25

Activations Density 0.015%

references to aviation incidents and regulations

No Comments

No Known Activations