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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. 11310
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    Explanations

    elements describing parks or outdoor recreational areas

    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
    новништво
    -0.78
    Xna
    -0.75
     propOrder
    -0.72
    RenderAtEndOf
    -0.64
    PositiveButton
    -0.64
     secco
    -0.59
    ValueMap
    -0.59
    ReusableCell
    -0.58
    DispatchToProps
    -0.57
     تضيفلها
    -0.57
    POSITIVE LOGITS
     grass
    1.03
     lawn
    0.90
     lawns
    0.85
    grass
    0.84
    Grass
    0.81
    lawn
    0.80
     GRASS
    0.79
     Grass
    0.77
     césped
    0.75
     Rasen
    0.74
    Activations Density 0.183%

    No Known Activations