INDEX

Explanations

references to vehicle-related incidents and traffic situations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 23-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L23R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.23.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

ocha

-0.15

exampleInput

-0.14

 Aviation

-0.14

 padd

-0.14

fare

-0.13

Ð°Ð²Ð¸

-0.13

Ã©ric

-0.13

gow

-0.13

Rails

-0.13

vod

-0.13

POSITIVE LOGITS

 vehicles

0.60

 cars

0.53

 vehicle

0.52

vehicles

0.50

 Vehicles

0.46

vehicle

0.44

 automobiles

0.41

cars

0.40

 Vehicle

0.35

car

0.35

Activations Density 0.443%

references to vehicle-related incidents and traffic situations

No Comments

No Known Activations

references to vehicle-related incidents and traffic situations

No Comments

No Known Activations