INDEX

Explanations

technical terms related to radar systems and their performance metrics

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 28-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L28R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.28.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

jur

-0.17

 mobil

-0.16

Ear

-0.16

ear

-0.16

 Crisis

-0.15

anja

-0.14

Ear

-0.14

fcc

-0.14

ipes

-0.14

ÐµÑĢÐ¿

-0.14

POSITIVE LOGITS

 Shack

0.28

 kino

0.27

 pupil

0.26

 aberr

0.23

 phase

0.23

 interfer

0.21

 coma

0.21

 Fres

0.21

 fringe

0.20

 pupils

0.20

Activations Density 0.051%

technical terms related to radar systems and their performance metrics

No Comments

No Known Activations

technical terms related to radar systems and their performance metrics

No Comments

No Known Activations