INDEX

Explanations

specific locations or names associated with medical professionals

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.24.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

 Coch

-0.17

atedRoute

-0.16

à¹Ģà¸ģà¸¥

-0.16

GINE

-0.15

trace

-0.14

imet

-0.14

 Cliff

-0.14

 fing

-0.14

opot

-0.14

uri

-0.14

POSITIVE LOGITS

 Luck

0.33

Luck

0.28

 Illinois

0.28

 Uttar

0.27

 Chicago

0.26

UP

0.26

Chicago

0.24

luck

0.23

 Blackhawks

0.23

inois

0.22

Activations Density 0.084%

specific locations or names associated with medical professionals

No Comments

No Known Activations