INDEX

Explanations

phrases associated with intense action and excitement in film

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

reeze

-0.15

å¦ĸ

-0.15

etros

-0.15

ÑĢÐ¾Ð·

-0.15

bob

-0.14

ÑĮÐ¼Ð¸

-0.14

inkle

-0.14

à¥įà¤°à¤¸

-0.13

agma

-0.13

quete

-0.13

POSITIVE LOGITS

 action

0.35

 stunt

0.28

 Action

0.27

 chore

0.27

-action

0.26

(action

0.25

/action

0.25

 ACTION

0.24

action

0.23

Action

0.23

Activations Density 0.086%

phrases associated with intense action and excitement in film

No Comments

No Known Activations