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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. 6542
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    Explanations

    references to staffing and personnel allocation in organizational contexts

    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
     Réponses
    -0.88
    migrationBuilder
    -0.81
    Personendaten
    -0.76
    iecie
    -0.72
    queryInterface
    -0.69
     referenties
    -0.69
    findpost
    -0.68
    aktur
    -0.66
    setVerticalGroup
    -0.65
    حياتها
    -0.65
    POSITIVE LOGITS
     as
    1.42
     needed
    1.02
     need
    0.88
    needed
    0.87
     Bedarf
    0.80
     behov
    0.78
     Needed
    0.77
    as
    0.77
     needs
    0.74
     Need
    0.74
    Activations Density 0.358%

    No Known Activations