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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 6585
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    INDEX
    Explanations

    methods and processes related to bioleaching and metal recovery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Relatively low or high "grade" ores

    np_acts-logits-general · gemini-2.0-flash

    ore grade concentration

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SocketChannel
    -0.50
     volont
    -0.47
    Mortal
    -0.47
     cinéma
    -0.46
     étr
    -0.45
    slow
    -0.45
    ühnen
    -0.45
     taches
    -0.44
    enerys
    -0.44
    ladelphia
    -0.44
    POSITIVE LOGITS
     assays
    0.63
     assay
    0.62
    COUVER
    0.61
     drill
    0.60
     DriverManager
    0.60
     gold
    0.59
     grades
    0.59
     disseminated
    0.58
     concentrate
    0.58
     grade
    0.57
    Activations Density 0.114%

    No Known Activations