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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 355
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    Explanations

    numerical specifications and performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    migrationBuilder
    -0.50
    rungsseite
    -0.48
     ModelExpression
    -0.46
    mybatisplus
    -0.46
    Datuak
    -0.46
    ########.
    -0.45
     GoogleFonts
    -0.44
     defaultstate
    -0.44
     kasarigan
    -0.41
     cellpadding
    -0.41
    POSITIVE LOGITS
    ″
    1.41
    ′
    1.22
    ″]
    0.94
    ′,
    0.85
    th
    0.84
    s
    0.80
    rd
    0.71
    ️⃣
    0.71
    ½
    0.69
    ⃣
    0.64
    Activations Density 2.767%

    No Known Activations