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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 1754
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    Explanations

    references to government funding and appropriations related to science and research

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 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
    RectangleBorder
    -0.65
    ZoneId
    -0.54
     libres
    -0.53
    ">—
    -0.52
    करण
    -0.50
     negócio
    -0.50
    Suit
    -0.49
    readValue
    -0.49
     infeksi
    -0.48
     cualidades
    -0.48
    POSITIVE LOGITS
     appropriations
    0.90
     budgets
    0.85
     budget
    0.85
    脚注の使い方
    0.84
     budgetary
    0.82
     budgeting
    0.79
     funding
    0.78
    budget
    0.75
    منابع
    0.74
     appropriation
    0.71
    Activations Density 0.168%

    No Known Activations