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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10621
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    Explanations

    various instances and references to the word "ram"

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

    "Ram" followed by other characters or words

    np_acts-logits-general · gemini-2.0-flash

    Ram names and titles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inheritdoc
    -0.58
    NewUrlParser
    -0.54
    EndInit
    -0.52
    LEncoder
    -0.52
     समीक्षक
    -0.51
    .*")]
    -0.51
    farwyddwr
    -0.50
     Préférences
    -0.50
    addGap
    -0.49
    velmente
    -0.48
    POSITIVE LOGITS
     Ram
    0.63
    Autoritní
    0.60
    paging
    0.60
    page
    0.57
    topf
    0.56
    Ram
    0.56
    seys
    0.54
    pages
    0.53
    paged
    0.53
    MessageOf
    0.52
    Activations Density 0.182%

    No Known Activations