INDEX

Explanations

terms related to water extraction technologies and their efficiency

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

 flame

-0.15

burn

-0.15

 Flame

-0.15

 Burning

-0.14

 sediment

-0.14

 Magnetic

-0.14

_override

-0.14

 Clean

-0.14

 pitch

-0.14

 burning

-0.13

POSITIVE LOGITS

 moisture

0.49

 water

0.43

 Moist

0.40

 humidity

0.39

humidity

0.37

water

0.37

 Water

0.35

 moist

0.34

Water

0.33

_water

0.32

Activations Density 0.131%

terms related to water extraction technologies and their efficiency

No Comments

No Known Activations

terms related to water extraction technologies and their efficiency

No Comments

No Known Activations