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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. 8880
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    INDEX
    Explanations

    descriptions of immersion and engagement in 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
    Jereo
    -0.52
    </tfoot>
    -0.52
    writeField
    -0.50
    Havolalar
    -0.48
     CreateTagHelper
    -0.47
     calldata
    -0.47
    İstinadlar
    -0.47
    __(/*!
    -0.46
    StructEnd
    -0.45
    tagHelperRunner
    -0.44
    POSITIVE LOGITS
     immersion
    0.92
     Immersion
    0.83
     immers
    0.82
     immersed
    0.81
     immerse
    0.73
     engrossed
    0.72
     absorbed
    0.69
     Immer
    0.69
     concentration
    0.66
     Concentration
    0.64
    Activations Density 0.255%

    No Known Activations