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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 7072
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    Explanations

    references to wood or wooden materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    سطس
    -0.38
    ratis
    -0.33
     praktisch
    -0.33
     fighting
    -0.33
    aarrggbb
    -0.32
     tramp
    -0.32
    渍
    -0.32
     interference
    -0.31
    StringLength
    -0.31
    REPEAT
    -0.31
    POSITIVE LOGITS
    wood
    1.00
     wood
    0.98
    WOOD
    0.96
     timber
    0.93
    timber
    0.90
     Timber
    0.88
     WOOD
    0.86
     gỗ
    0.86
     logging
    0.84
     Logging
    0.81
    Activations Density 0.211%

    No Known Activations