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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 5650
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    Explanations

    references to the name "Tom"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -1.17
    StoryboardSegue
    -1.01
     autorytatywna
    -0.99
    ScopeManager
    -0.98
    setVerticalGroup
    -0.96
     himo
    -0.95
    InjectAttribute
    -0.94
     AttributeSet
    -0.92
    AndroidJUnit
    -0.90
    Hauptartikel
    -0.89
    POSITIVE LOGITS
     Toyota
    0.81
    ama
    0.72
     Tom
    0.69
     stupid
    0.68
    Tom
    0.66
     Sony
    0.65
     Smart
    0.65
    Toyota
    0.62
    '][
    0.62
    Sony
    0.60
    Activations Density 0.168%

    No Known Activations