INDEX

Explanations

terms related to transportation and logistics issues

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

 cars

-0.15

PEED

-0.14

ogne

-0.14

 Tourism

-0.14

UNU

-0.14

 tourists

-0.14

 neighbourhood

-0.14

æ³³

-0.14

azu

-0.14

itel

-0.13

POSITIVE LOGITS

FM

0.38

 truck

0.36

 Truck

0.33

FM

0.32

CM

0.29

CD

0.29

 carrier

0.28

DOT

0.28

 Commercial

0.28

CSA

0.28

Activations Density 0.008%

terms related to transportation and logistics issues

No Comments

No Known Activations