INDEX

Explanations

references to aquatic management and environmental maintenance

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

 coastal

-0.24

 ocean

-0.22

 Coastal

-0.21

 Ocean

-0.20

æµ·

-0.19

 seaside

-0.18

 coast

-0.18

sea

-0.18

 coastline

-0.17

 seas

-0.16

POSITIVE LOGITS

 lake

0.45

Lake

0.35

 Lake

0.34

lake

0.34

æ¹ĸ

0.34

 lakes

0.33

 æ¹ĸ

0.26

 Lakes

0.25

lak

0.25

 fish

0.23

Activations Density 0.141%

references to aquatic management and environmental maintenance

No Comments

No Known Activations