INDEX

Explanations

elements related to movie quality and execution, particularly in terms of predictability and emotional engagement

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 20-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L20R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.20.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

imb

-0.18

 verd

-0.17

elay

-0.15

 Territories

-0.15

ibri

-0.15

Browse

-0.15

anse

-0.14

SKU

-0.14

Ð²Ð°Ð¶

-0.14

idges

-0.13

POSITIVE LOGITS

olid

0.15

 Hayden

0.15

 definite

0.15

.eps

0.15

 Savage

0.15

Ã¨o

0.14

 Entwicklung

0.14

 Zaman

0.14

ARAM

0.14

ernes

0.14

Activations Density 0.029%

elements related to movie quality and execution, particularly in terms of predictability and emotional engagement

No Comments

No Known Activations