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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 1213
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    Explanations

    references to "Tar" and variations of the term, likely related to geography or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Parcelize
    -0.54
    makeConstraints
    -0.49
    verifyException
    -0.48
     MessageBoxIcon
    -0.47
    StackNavigator
    -0.47
    ExtendWith
    -0.47
    setAccessible
    -0.46
     صوتيه
    -0.46
    AccessorTable
    -0.45
    SerializedName
    -0.44
    POSITIVE LOGITS
     Tar
    0.98
     tar
    0.98
    Tar
    0.90
    getTarget
    0.83
    tar
    0.76
     TAR
    0.75
    Target
    0.75
    Targets
    0.71
     TARGET
    0.68
    TAR
    0.67
    Activations Density 0.519%

    No Known Activations