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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11129
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    Explanations

    phrases related to cooking techniques and ingredients

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

    preceding or related to neoantigens

    np_acts-logits-general · gemini-2.0-flash

    anti cancer vaccines mutations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.51
    Lähteet
    -0.46
     bewe
    -0.44
     kasarigan
    -0.42
     postIndex
    -0.41
     Inſ
    -0.41
     Reſ
    -0.41
     Benz
    -0.41
    Personendaten
    -0.40
     menudo
    -0.40
    POSITIVE LOGITS
    SequentialGroup
    0.67
     charred
    0.40
    intellij
    0.39
    roasted
    0.38
    ストレート
    0.35
     Pergamon
    0.35
    jface
    0.35
    gatsby
    0.35
    ibatis
    0.34
     defStyleAttr
    0.34
    Activations Density 0.543%

    No Known Activations