INDEX

Explanations

phrases related to educational backgrounds and medical specialties

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 31-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L31R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.31.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

 Patients

-0.19

 doctors

-0.19

Patients

-0.19

 doctor

-0.18

æĤ£èĢħ

-0.18

 patients

-0.17

_patient

-0.17

 Doctors

-0.17

.health

-0.16

(patient

-0.15

POSITIVE LOGITS

 Internal

0.39

 internal

0.37

Internal

0.33

 card

0.33

 INTERNAL

0.31

internal

0.30

pul

0.29

 Card

0.28

ENT

0.28

ped

0.28

Activations Density 0.127%

phrases related to educational backgrounds and medical specialties

No Comments

No Known Activations