INDEX

Explanations

structured metadata, such as titles, credits, and classification details in film and organizational contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 16-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L16R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.16.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

ÑĤÑĢÐ¾Ð½

-0.15

Ã¼zel

-0.15

aphael

-0.15

nger

-0.14

.addObject

-0.14

vg

-0.14

anny

-0.14

zim

-0.14

angel

-0.13

 prest

-0.13

POSITIVE LOGITS

hta

0.16

Gatt

0.15

MAS

0.15

0.14

_CSR

0.14

ìļķ

0.14

oplevel

0.13

MAS

0.13

ksen

0.13

 neph

0.13

Activations Density 0.054%

structured metadata, such as titles, credits, and classification details in film and organizational contexts

No Comments

No Known Activations