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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. 8840
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    elements related to riding and biking experiences

    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
    tangentMode
    -0.66
    MigrationBuilder
    -0.65
    AsUp
    -0.65
    цездатний
    -0.63
     intptr
    -0.63
    NameInMap
    -0.62
    SharedDtor
    -0.61
    awtextra
    -0.60
    ModelAdmin
    -0.57
    lapsingToolbar
    -0.56
    POSITIVE LOGITS
     frames
    0.72
     frame
    0.65
    frames
    0.64
    Frames
    0.62
    原始内容存档于
    0.59
     genomen
    0.58
     Frames
    0.56
     FRAME
    0.55
    frame
    0.54
    Frame
    0.54
    Activations Density 0.131%

    No Known Activations