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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 7400
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    Explanations

    numerical data and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     BrowserModule
    -0.53
    migrationBuilder
    -0.48
     ModelExpression
    -0.47
    sizeCache
    -0.45
    dule
    -0.45
    Datuak
    -0.44
    outWeight
    -0.41
     GoogleFonts
    -0.41
    Pranala
    -0.41
    ”،
    -0.41
    POSITIVE LOGITS
    ″
    1.53
    ′
    1.34
    th
    1.02
    ″]
    0.98
    ′,
    0.96
    0
    0.96
    ️⃣
    0.91
    ×
    0.83
    rd
    0.82
    %
    0.81
    Activations Density 1.911%

    No Known Activations