INDEX

Explanations

references to restaurant reservations and dining logistics

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

edin

-0.17

 ware

-0.14

.Orientation

-0.14

elig

-0.14

ÑĢÑĥÑģ

-0.14

 FETCH

-0.13

amburger

-0.13

ilip

-0.13

fresh

-0.13

zan

-0.13

POSITIVE LOGITS

 reservation

0.55

 Reservation

0.51

 reservations

0.51

 booking

0.47

reservation

0.43

Reservation

0.42

 bookings

0.40

 Booking

0.40

 reserv

0.39

booking

0.39

Activations Density 0.181%

references to restaurant reservations and dining logistics

No Comments

No Known Activations