INDEX

Explanations

phrases and terms related to urban planning and housing regulations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 20-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L20R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.20.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

 Wolver

-0.15

Gran

-0.15

ipers

-0.15

Indiana

-0.15

 Calgary

-0.15

Minnesota

-0.15

 Moor

-0.14

ÑĥÑĢÐ½

-0.14

á»ĩn

-0.14

 Oilers

-0.14

POSITIVE LOGITS

NY

0.57

NYC

0.56

NY

0.56

 Brooklyn

0.47

 NYPD

0.47

 Manhattan

0.46

 Bronx

0.43

New

0.39

 Knicks

0.37

 Cuomo

0.35

Activations Density 1.157%

phrases and terms related to urban planning and housing regulations

No Comments

No Known Activations