INDEX

Explanations

locations and names of medical professionals and their specialties

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

uben

-0.19

rell

-0.17

umber

-0.15

enschaft

-0.15

.Ui

-0.14

inden

-0.14

.answers

-0.14

endale

-0.14

-await

-0.14

amura

-0.14

POSITIVE LOGITS

Tel

0.43

tel

0.38

Tel

0.38

 Hyderabad

0.33

.tel

0.32

à°

0.31

tel

0.30

 à°

0.27

_tel

0.25

TEL

0.24

Activations Density 0.114%

locations and names of medical professionals and their specialties

No Comments

No Known Activations

locations and names of medical professionals and their specialties

No Comments

No Known Activations