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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. 10065
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    Explanations

    references to different types of materials

    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
     queſta
    -0.87
    parsedMessage
    -0.80
    GEBURTSDATUM
    -0.78
     Efq
    -0.73
     Roskov
    -0.69
     increí
    -0.69
    berdayakan
    -0.68
     kasarigan
    -0.68
     ainfi
    -0.67
    Referanser
    -0.66
    POSITIVE LOGITS
     material
    1.62
     Material
    1.58
    material
    1.55
    Material
    1.52
     materials
    1.45
    materials
    1.37
     Materials
    1.35
     MATERIAL
    1.35
    Materials
    1.27
    MATERIAL
    1.24
    Activations Density 0.152%

    No Known Activations