INDEX

Explanations

references to urban environments

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

New Auto-Interp

Top Features by Cosine Similarity

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

Configuration

google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141

Prompts (Dashboard)

36,864 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

sī

-0.56

 désolés

-0.56

dubbo

-0.54

↓↓

-0.54

 disappointing

-0.53

 Flach

-0.53

occuper

-0.53

 quý

-0.52

Zus

-0.51

 sẻ

-0.51

POSITIVE LOGITS

 الحره

0.82

 NSCoder

0.79

 Paglinawan

0.78

 pinulongan

0.77

 Factbook

0.73

twimg

0.71

Datuak

0.70

 Bite

0.70

 wider

0.69

 fewer

0.68

Activations Density 0.038%

references to urban environments

No Comments

No Known Activations