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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 13994
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    Explanations

    references to wetlands and their environmental characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ViewImports
    -0.49
     NSCoder
    -0.46
    UrlResolution
    -0.46
    ьаж
    -0.46
    ścic
    -0.44
    romyalgia
    -0.42
    iotensin
    -0.41
    ongevity
    -0.40
    GORITH
    -0.38
    ionine
    -0.38
    POSITIVE LOGITS
     wetland
    0.85
     wetlands
    0.84
     Wetlands
    0.81
     marsh
    0.81
     Wetland
    0.75
     marshes
    0.65
     swamp
    0.65
    marsh
    0.63
     Marsh
    0.63
    Marsh
    0.63
    Activations Density 0.509%

    No Known Activations