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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 14343
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    elements related to model loading and saving processes in machine learning frameworks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    ⓧ
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    EndContext
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    matchCondition
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     AssemblyCompany
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    BeginContext
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     betweenstory
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     dAtA
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    новниш
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    POSITIVE LOGITS
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    keras
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    callbacks
    0.51
     Keras
    0.49
     callbacks
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     compile
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    compile
    0.45
     montanha
    0.39
     callback
    0.38
    Callbacks
    0.38
    Activations Density 0.229%

    No Known Activations