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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 2635
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    Explanations

    references to powdered materials and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    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
    -0.47
    NullCheck
    -0.43
    Билгалдахарш
    -0.42
    Referanser
    -0.40
    createStatement
    -0.40
    Зноскі
    -0.39
    İstinadlar
    -0.39
    StandardCharsets
    -0.37
     hech
    -0.37
    setOnAction
    -0.37
    POSITIVE LOGITS
     Sco
    1.09
    Sco
    1.06
     sco
    1.06
    sco
    0.92
     powder
    0.89
     Powder
    0.84
    Scot
    0.83
     Scot
    0.83
     scoops
    0.80
     Scotty
    0.78
    Activations Density 0.451%

    No Known Activations