INDEX

Explanations

references to various types of officers in a professional context

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k

Configuration

google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.2.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 dezelve

-0.52

riebenen

-0.41

AntiForgeryToken

-0.38

homonymie

-0.37

 ulei

-0.37

ilstein

-0.36

bæ

-0.36

 tæn

-0.35

 članak

-0.35

Derbyniad

-0.35

POSITIVE LOGITS

 officers

0.88

 Officers

0.79

 officer

0.79

officers

0.77

 Officer

0.75

 relief

0.73

 OFFICERS

0.72

Officer

0.71

 appeal

0.71

officer

0.70

Activations Density 0.107%

references to various types of officers in a professional context

No Comments

No Known Activations