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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. 13409
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    names of actors and their associations with movies

    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
     iprot
    -0.46
     density
    -0.45
     souci
    -0.41
    ⅘
    -0.40
    mand
    -0.39
     slab
    -0.38
    density
    -0.38
     Density
    -0.37
    writeField
    -0.35
     mand
    -0.34
    POSITIVE LOGITS
    spesies
    0.54
    GOTREF
    0.50
    awtextra
    0.49
    bootstrapcdn
    0.49
    verifyException
    0.47
     resourceCulture
    0.47
    enumi
    0.46
     ComVisible
    0.46
     estekak
    0.45
    fjspx
    0.44
    Activations Density 0.114%

    No Known Activations