INDEX

Explanations

elements related to nautical activities and interests

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 27-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L27R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.27.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

æľºåľº

-0.19

 Airport

-0.18

Airport

-0.16

 Ð´Ð¾ÑĢÐ¾Ð¶

-0.15

ä½ıå®ħ

-0.15

 underground

-0.14

ÑĤÐ°Ð¶

-0.14

 roadside

-0.13

 Caval

-0.13

 airport

-0.13

POSITIVE LOGITS

 ship

0.58

 vessel

0.52

 ships

0.50

 vessels

0.47

èĪ¹

0.44

 Ship

0.42

 boat

0.42

ship

0.41

 Ships

0.41

 sail

0.40

Activations Density 0.857%

elements related to nautical activities and interests

No Comments

No Known Activations