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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 11630
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    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Personendaten
    -0.71
    AndEndTag
    -0.69
    ReusableCell
    -0.68
    QMetaType
    -0.68
    parsedMessage
    -0.66
    CodeAttribute
    -0.65
    IVEREF
    -0.63
    ChildScrollView
    -0.62
    Tikang
    -0.62
    featureID
    -0.62
    POSITIVE LOGITS
     uzyskać
    0.34
     Bour
    0.33
     obce
    0.33
     Lovell
    0.31
     czas
    0.31
     Fournier
    0.30
     Schol
    0.29
    ఔ
    0.29
     Kom
    0.29
     usada
    0.28
    Activations Density 0.820%

    No Known Activations