INDEX

Explanations

specific brand or product names related to food and beverage industries

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 11-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L11R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.11.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

æĹıèĩªæ²»

-0.17

fillType

-0.16

DRAM

-0.16

Ã©ra

-0.15

odka

-0.15

.XR

-0.15

 Lust

-0.15

tÃŃ

-0.14

-www

-0.14

ÂŃi

-0.14

POSITIVE LOGITS

anka

0.16

ynes

0.16

 Ever

0.15

ovny

0.14

 Robbins

0.14

 ever

0.14

hm

0.14

 Manager

0.14

ENTS

0.14

iam

0.14

Activations Density 0.134%

specific brand or product names related to food and beverage industries

No Comments

No Known Activations