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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9338
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    INDEX
    Explanations

    information related to vehicle models and specifications

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

    Peugeot SUV models

    np_acts-logits-general · gemini-2.0-flash

    car models and specific designations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 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
     Wurzel
    -0.29
    ↵
    -0.28
    (['
    -0.28
     tristeza
    -0.28
     charge
    -0.27
    ['
    -0.27
    //
    -0.27
    Premios
    -0.26
     Gesundheits
    -0.26
     Genehmigung
    -0.25
    POSITIVE LOGITS
    parsedMessage
    1.00
     AssemblyVersion
    0.73
    ArgsConstructor
    0.73
    󠁴
    0.69
    SourceChecksum
    0.68
    PMailer
    0.66
     queſta
    0.66
    ⤹
    0.66
    featureID
    0.65
    PreferredItem
    0.65
    Activations Density 0.209%

    No Known Activations