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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 118435
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    Explanations

    discussions related to military and defense policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    defense, arms, and military spending

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :✨
    -0.58
    BagConstraints
    -0.50
    UnusedPrivate
    -0.49
     resourceCulture
    -0.49
    httphttps
    -0.49
    tonsoft
    -0.47
     BitmapFactory
    -0.45
    LookAnd
    -0.44
    djangoproject
    -0.44
    vellous
    -0.43
    POSITIVE LOGITS
     arms
    0.52
     militar
    0.51
     weapons
    0.48
     disarmament
    0.48
    weapons
    0.46
    armament
    0.46
     Pentagon
    0.45
     armaments
    0.45
     Arms
    0.44
    arms
    0.44
    Activations Density 0.053%

    No Known Activations