INDEX

Explanations

proper nouns, particularly locations and brands associated with beer and education

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 30-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.30.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

rrha

-0.18

 Renault

-0.18

steen

-0.16

 Kale

-0.16

 Rotterdam

-0.15

agh

-0.15

PTY

-0.15

hed

-0.15

erset

-0.15

ushman

-0.15

POSITIVE LOGITS

 Munich

0.36

 Bayern

0.33

 MÃ¼nchen

0.32

Bav

0.31

 mÃ¼nchen

0.24

mun

0.24

Bay

0.23

 Bayer

0.23

Bam

0.23

bay

0.21

Activations Density 0.015%

proper nouns, particularly locations and brands associated with beer and education

No Comments

No Known Activations

proper nouns, particularly locations and brands associated with beer and education

No Comments

No Known Activations