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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. MLP Out - 131k
    5. 6-GEMMASCOPE-MLP-131K
    6. 110029
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    references related to transportation and vehicle performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-mlp/layer_6/width_131k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.6.hook_mlp_out
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :✨
    -0.50
     ſta
    -0.46
     viſ
    -0.45
    出版年
    -0.45
     purpoſe
    -0.45
     NoSuch
    -0.44
    GOTREF
    -0.44
    HomeAsUpEnabled
    -0.43
     الحره
    -0.41
     Ska
    -0.41
    POSITIVE LOGITS
    Datuak
    0.49
     <<<<<<<<<<<<<<
    0.44
     infancia
    0.38
     voer
    0.38
     weiße
    0.38
    CppMethod
    0.38
     pegatina
    0.37
     Kindheit
    0.36
     conoci
    0.35
     dévo
    0.35
    Activations Density 0.071%

    No Known Activations