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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 12866
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    INDEX
    Explanations

    recalled vehicle models and associated details within safety and administrative contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Car brands and models

    np_acts-logits-general · gemini-2.0-flash

    car manufacturers and models

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WireFormatLite
    -0.72
    MigrationBuilder
    -0.67
    WriteTagHelper
    -0.63
    الحياه
    -0.63
    存于互联网档案馆
    -0.60
    iNdEx
    -0.60
    исленность
    -0.59
    enschappelijke
    -0.56
    出版年
    -0.56
     JADX
    -0.55
    POSITIVE LOGITS
     Ford
    1.25
     BMW
    1.18
     Honda
    1.16
     Toyota
    1.15
     Nissan
    1.13
     Mercedes
    1.11
     Dodge
    1.09
    Ford
    1.07
     Audi
    1.06
     Lexus
    1.03
    Activations Density 0.222%

    No Known Activations