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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12474
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    Explanations

    references to budget allocations and appropriations in governmental contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    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
    IsMutable
    -0.56
     protoimpl
    -0.54
    Kariera
    -0.50
    :✨
    -0.47
    ViewImports
    -0.46
     henvisninger
    -0.45
     пар
    -0.45
    actory
    -0.44
     doInBackground
    -0.44
     Lightboxes
    -0.43
    POSITIVE LOGITS
     budget
    1.16
     budgetary
    1.05
     Budget
    1.02
     budgets
    0.98
    budget
    0.95
    Budget
    0.91
     BUDGET
    0.90
     budgeting
    0.89
    预算
    0.88
     budgeted
    0.84
    Activations Density 0.269%

    No Known Activations