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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 6928
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    references to armor and warrior attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_8/width_16k/average_l0_99
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.52
     ModelRenderer
    -0.50
     StatelessWidget
    -0.50
     comuniques
    -0.50
    帖最后由
    -0.49
    routeProvider
    -0.49
    IContainer
    -0.48
     jsPsych
    -0.47
    SequentialGroup
    -0.47
    setPointSize
    -0.47
    POSITIVE LOGITS
     armor
    0.96
     armour
    0.86
     warrior
    0.81
     armadura
    0.80
     armored
    0.80
     Armor
    0.77
    Armor
    0.75
    armor
    0.74
    warrior
    0.73
    Warrior
    0.68
    Activations Density 0.381%

    No Known Activations