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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 5779
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    Explanations

    references to military personnel and their ranks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gesells
    -0.38
    EditorBrowsable
    -0.35
    IntoConstraints
    -0.33
     undangan
    -0.30
     Zauber
    -0.29
     apuesta
    -0.29
     vru
    -0.28
     bicicleta
    -0.28
     aceptas
    -0.28
     krach
    -0.27
    POSITIVE LOGITS
     military
    2.08
     Military
    1.95
     soldiers
    1.95
     soldier
    1.93
    military
    1.91
    Military
    1.89
    soldiers
    1.73
    soldier
    1.71
     Soldiers
    1.70
     MILITARY
    1.70
    Activations Density 0.897%

    No Known Activations