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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. 13735
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    Explanations

    names of car models or specific vehicles

    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
     Chwiliwch
    -0.55
     surla
    -0.54
    GEBURTSDATUM
    -0.53
    expandindo
    -0.51
     الحره
    -0.51
    setVerticalGroup
    -0.50
    DockStyle
    -0.50
     defStyleAttr
    -0.50
    sizeCache
    -0.49
    UnsafeEnabled
    -0.48
    POSITIVE LOGITS
     Toyota
    0.68
    Toyota
    0.66
     toyota
    0.60
     Camry
    0.55
     TOY
    0.55
     Corolla
    0.52
    トヨタ
    0.52
    toyota
    0.52
     トヨタ
    0.51
     Prius
    0.51
    Activations Density 0.132%

    No Known Activations