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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. 2716
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    Explanations

    references to batch processing and related concepts

    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
    complexContent
    -0.95
     leetcode
    -0.85
     mena
    -0.83
    ophon
    -0.81
     LEYENDO
    -0.79
     Weid
    -0.77
     ModelRenderer
    -0.77
     Ishikawa
    -0.77
    aarrggbb
    -0.75
    ⮕
    -0.75
    POSITIVE LOGITS
     batch
    1.80
     BATCH
    1.73
    Batch
    1.70
     Batch
    1.69
    batch
    1.64
    BATCH
    1.58
     batches
    1.58
    batches
    1.38
     lotes
    1.20
     lote
    1.18
    Activations Density 0.090%

    No Known Activations