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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 3565
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    Explanations

    details about reclining chairs and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ffilmiau
    -0.51
    :✨
    -0.49
     rattled
    -0.49
    abyrinth
    -0.48
    ichio
    -0.48
     Fiscal
    -0.47
    INSEE
    -0.46
     useAppContext
    -0.45
    WebVitals
    -0.45
    leneck
    -0.45
    POSITIVE LOGITS
     chair
    1.10
     chairs
    1.02
     Chair
    1.00
    Chair
    0.96
     Chairs
    0.96
     seat
    0.96
     seats
    0.93
     CHAIR
    0.91
     sofa
    0.90
    Chairs
    0.88
    Activations Density 0.187%

    No Known Activations