INDEX

Explanations

terms related to drug-related activities and law enforcement actions

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 26-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L26R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.26.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

kening

-0.15

 drunken

-0.14

odon

-0.14

_attack

-0.14

CLR

-0.14

.jav

-0.14

ipple

-0.14

ezi

-0.14

 $('#'

-0.14

 spol

-0.14

POSITIVE LOGITS

 drug

0.32

 dealer

0.31

 dealers

0.31

 Ð½Ð°ÑĢ

0.29

 drugs

0.29

 heroin

0.28

 Drug

0.28

drug

0.28

 cocaine

0.26

Drug

0.26

Activations Density 0.067%

terms related to drug-related activities and law enforcement actions

No Comments

No Known Activations