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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 4663
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    references to concentration levels in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     responseData
    -0.59
     Chwiliwch
    -0.55
     мәкал
    -0.54
    postIndex
    -0.53
    <?
    -0.53
     mapStateToProps
    -0.51
     brus
    -0.50
     okhttp
    -0.50
     SEA
    -0.49
     Италијани
    -0.49
    POSITIVE LOGITS
     navideñas
    0.54
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    0.52
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    0.51
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    0.51
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    0.50
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    0.50
     Absicht
    0.48
     Arquitectura
    0.48
    Activations Density 0.604%

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