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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 3825
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    references to military personnel and units

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fromnode
    -0.43
    army
    -0.41
     soldiers
    -0.38
     army
    -0.38
    MigrationBuilder
    -0.37
    Notae
    -0.36
     invokingState
    -0.36
    SPATH
    -0.36
     armies
    -0.36
     soldats
    -0.35
    POSITIVE LOGITS
     Naval
    0.69
     Navy
    0.69
     ashore
    0.69
     Sailors
    0.63
    webElementXpaths
    0.60
     Sailor
    0.60
     naval
    0.58
     sailors
    0.57
     Marine
    0.57
     Fleet
    0.57
    Activations Density 0.256%

    No Known Activations