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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 6850
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    Explanations

    references to processing or managing batches in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gimana
    -0.43
     gerais
    -0.43
     wysok
    -0.42
     그는
    -0.42
     pendukung
    -0.41
     العامة
    -0.40
     tajam
    -0.40
     degrading
    -0.39
    我说
    -0.39
    뚫
    -0.38
    POSITIVE LOGITS
     batch
    1.93
     Batch
    1.88
    batch
    1.86
    Batch
    1.76
     BATCH
    1.66
     batches
    1.60
    BATCH
    1.48
    batches
    1.34
    批
    1.07
    批量
    0.97
    Activations Density 0.265%

    No Known Activations