INDEX

Explanations

details about rental properties and their amenities

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 25-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L25R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.25.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

 lunch

-0.19

à¹Ĥà¸£à¸ĩà¹ģà¸£à¸¡

-0.19

 cafeteria

-0.18

 hotel

-0.17

hotel

-0.17

 Hotel

-0.17

 hotels

-0.17

 Lunch

-0.17

 íĺ¸íħĶ

-0.16

åįĪ

-0.16

POSITIVE LOGITS

 renters

0.21

lin

0.19

 rental

0.19

Rates

0.18

 rentals

0.18

/unit

0.18

 Rental

0.17

vr

0.17

 sleeps

0.17

 Rentals

0.17

Activations Density 0.073%

details about rental properties and their amenities

No Comments

No Known Activations