INDEX

Explanations

proper nouns related to locations and organizations

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

sher

-0.17

unta

-0.17

 ÐºÐ°Ð´

-0.16

inent

-0.16

Cad

-0.16

iner

-0.15

 æŀĹ

-0.14

onz

-0.14

jerne

-0.14

beer

-0.14

POSITIVE LOGITS

enge

0.15

 Mona

0.15

uster

0.15

éģ

0.15

Pad

0.15

Moo

0.14

 Keystone

0.14

SENS

0.14

Hak

0.14

agg

0.14

Activations Density 0.025%

proper nouns related to locations and organizations

No Comments

No Known Activations

proper nouns related to locations and organizations

No Comments

No Known Activations