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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 9523
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    INDEX
    Explanations

    references to walking or hiking activities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     createSlice
    -0.60
     للاسماء
    -0.52
     Autorizaciones
    -0.47
     BoxDecoration
    -0.46
     resultCode
    -0.44
     numberWith
    -0.43
    SerializedName
    -0.43
    Reprodução
    -0.42
     helm
    -0.42
     Sach
    -0.41
    POSITIVE LOGITS
     walking
    1.13
     Walking
    1.01
    Walking
    0.98
    walking
    0.94
     walk
    0.91
     walks
    0.89
     walked
    0.86
     Walk
    0.83
     hiking
    0.82
    🚶
    0.81
    Activations Density 0.108%

    No Known Activations