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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. 2787
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    Explanations

    processes related to loading and saving machine learning models in Keras

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    AndEndTag
    -0.60
     disambiguazione
    -0.59
    ftagPool
    -0.59
     kaarangay
    -0.57
    contentLoaded
    -0.54
    GIVEREF
    -0.52
    principalTable
    -0.50
    TagMode
    -0.49
    OGND
    -0.47
     utafitiHapana
    -0.46
    POSITIVE LOGITS
    epoch
    0.47
    setupUi
    0.46
    EntityFramework
    0.41
    atguigu
    0.39
    SdkVersion
    0.39
    Epoch
    0.38
     окру
    0.38
    Ciudad
    0.38
    epochs
    0.38
    necked
    0.38
    Activations Density 0.193%

    No Known Activations