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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 6139
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    Explanations

    references to large quantities, particularly in the millions or billions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Descarga
    -0.49
     uploading
    -0.47
     المعيارى
    -0.45
    tagHelperRunner
    -0.44
     vaikka
    -0.42
     upload
    -0.42
     Upload
    -0.41
    ynomial
    -0.41
     upon
    -0.40
    tispiece
    -0.40
    POSITIVE LOGITS
     millions
    1.23
    millions
    1.08
     Millions
    1.08
     billions
    1.07
    Millions
    1.05
     tens
    0.85
     thousands
    0.84
    thousands
    0.76
    Thousands
    0.73
     Thousands
    0.72
    Activations Density 0.058%

    No Known Activations