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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12324
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    punctuation marks and Japanese sentence-ending particles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    <bos>
    -0.60
     CanadaChoose
    -0.59
     BoxDecoration
    -0.57
     gyhoeddwyd
    -0.57
     maș
    -0.55
     houſe
    -0.54
    MathML
    -0.50
    createElement
    -0.50
     الحره
    -0.50
     ModelRenderer
    -0.48
    POSITIVE LOGITS
    بوابة
    0.63
    তথ্যসূত্র
    0.54
     ardından
    0.53
    .。
    0.48
     Darmstadt
    0.47
    。
    0.47
    AlterField
    0.47
    %。
    0.46
    iarkan
    0.46
     embarazadas
    0.45
    Activations Density 0.014%

    No Known Activations