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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8272
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    Explanations

    references to budgetary issues and funding allocations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 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
    ZoneId
    -0.67
    RectangleBorder
    -0.63
     متعلقه
    -0.59
    Ashlee
    -0.57
    abestanden
    -0.56
     pinulongan
    -0.54
    JNIEnv
    -0.53
    تقاوى
    -0.52
     negócio
    -0.50
     schre
    -0.50
    POSITIVE LOGITS
     budget
    0.90
     budgetary
    0.88
     budgets
    0.85
     budgeting
    0.79
    budget
    0.79
    脚注の使い方
    0.76
     budgeted
    0.76
     appropriations
    0.76
    منابع
    0.73
    BUDGET
    0.73
    Activations Density 0.161%

    No Known Activations