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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 11227
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    Explanations

    incidents of injuries or medical emergencies in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    })));
    -0.70
    quelize
    -0.67
     AssemblyVersion
    -0.65
    ⓧ
    -0.65
     CWE
    -0.64
     onPostExecute
    -0.62
     BorderRadius
    -0.62
     لينك
    -0.60
    Дереккөздер
    -0.59
     createSlice
    -0.57
    POSITIVE LOGITS
     require
    0.67
    require
    0.67
     requires
    0.62
     requiring
    0.61
     need
    0.61
     needing
    0.60
    requires
    0.56
    Require
    0.55
     required
    0.54
     needs
    0.54
    Activations Density 0.370%

    No Known Activations