INDEX

Explanations

words related to school, harm, an item, a numbered list, a crime, or a medical assistance

oai_token-act-pair · gemini-2.0-flash

initial actions

np_max-act · gemini-2.0-flash

New Auto-Interp

Configuration

google/gemma-scope-2b-pt-transcoders/layer_0/width_16k/average_l0_76

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.0.ln2.hook_normalized

Architecture

jumprelu_transcoder

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

]")]

-0.71

 daß

-0.65

Décès

-0.62

Öffnungszeiten

-0.61

 muchacha

-0.57

QPalette

-0.54

ünkü

-0.54

 Italijanski

-0.54

 Sebuah

-0.52

daß

-0.52

POSITIVE LOGITS

RegressionTest

0.71

 Процитовано

0.70

rénées

0.65

}>;

0.63

添

0.61

openapi

0.60

PRNewswire

0.55

 iframe

0.55

 expectations

0.55

0.54

Activations Density 2.009%

words related to school, harm, an item, a numbered list, a crime, or a medical assistance

initial actions

No Comments

No Known Activations