INDEX

Explanations

locations, particularly airports and hospitals, as well as other significant sites

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.22.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

fen

-0.15

usc

-0.14

è¡Ĺ

-0.14

POD

-0.14

VILLE

-0.14

raman

-0.14

iez

-0.14

amen

-0.14

asic

-0.13

.IContainer

-0.13

POSITIVE LOGITS

 Resort

0.18

 Hospital

0.17

indered

0.16

.edu

0.16

åĮ»éĻ¢

0.16

bersome

0.16

 stadium

0.15

 restaurant

0.15

YC

0.15

Activations Density 0.130%

locations, particularly airports and hospitals, as well as other significant sites

No Comments

No Known Activations