INDEX

Explanations

terms related to transportation and logistics

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.24.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

seat

-0.18

deniz

-0.17

 seat

-0.14

 submar

-0.14

opaque

-0.14

ÑĮÑİÑĤ

-0.14

 organ

-0.14

Seat

-0.14

coder

-0.14

POSITIVE LOGITS

 hang

0.26

 workshop

0.25

 warehouse

0.24

 garage

0.24

 workshops

0.22

 storage

0.22

bay

0.21

bay

0.21

åį

0.21

 yard

0.21

Activations Density 0.103%

terms related to transportation and logistics

No Comments

No Known Activations