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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. 10968
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    Explanations

    statistics related to rushing yards and performance in football

    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
     protoimpl
    -0.60
    sidemargin
    -0.59
    HandlerContext
    -0.59
    sterdam
    -0.56
    riwal
    -0.55
    ERTE
    -0.54
    IndentedString
    -0.52
    rxjs
    -0.52
    orteur
    -0.52
     magnético
    -0.51
    POSITIVE LOGITS
    isRunning
    0.65
     running
    0.57
     backs
    0.56
    Runners
    0.56
     rushing
    0.56
    Running
    0.55
     Running
    0.55
     rushed
    0.52
     RB
    0.52
     carried
    0.50
    Activations Density 0.105%

    No Known Activations