INDEX

Explanations

phrases related to medical injuries and recovery

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 10-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L10R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.10.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

iland

-0.20

opoulos

-0.17

etti

-0.15

rible

-0.15

bris

-0.15

 Laden

-0.14

 Tits

-0.14

Pon

-0.14

ilar

-0.13

eting

-0.13

POSITIVE LOGITS

NullException

0.17

vie

0.15

atik

0.15

hoo

0.14

dat

0.14

APPER

0.13

arya

0.13

ç´Ģ

0.13

 Franti

0.13

Activations Density 0.498%

phrases related to medical injuries and recovery

No Comments

No Known Activations