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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 6855
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    Explanations

    references to funding and appropriations related to scientific research and development

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

    financial amounts, budgets, and funding allocations in government or organizational contexts.

    oai_token-act-pair · claude-3-7-sonnet-20250219Triggered by @neilrathi

    federal budget appropriations and funding levels for government agencies and programs.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parsedMessage
    -0.54
    ፩
    -0.50
    ChildScrollView
    -0.50
    IndentedString
    -0.47
    GEBURTSDATUM
    -0.46
     vectorielle
    -0.45
    Personendaten
    -0.41
    :✨
    -0.41
    دانشنامهٔ
    -0.40
    tonode
    -0.40
    POSITIVE LOGITS
     budget
    1.87
     budgets
    1.69
    budget
    1.63
     budgetary
    1.60
     Budget
    1.58
    Budget
    1.54
     budgeting
    1.49
     funding
    1.48
     budgeted
    1.48
     Budgets
    1.45
    Activations Density 0.380%

    No Known Activations