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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 6614
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    terms associated with landing or land-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     katanya
    -0.47
     linkovi
    -0.47
    NamedQueries
    -0.44
     unchanging
    -0.42
     outright
    -0.42
    AddHtmlAttribute
    -0.42
     Maciej
    -0.41
    Nä
    -0.41
     Aussch
    -0.41
    [:,
    -0.40
    POSITIVE LOGITS
     landing
    0.92
     Landing
    0.79
    Landing
    0.75
    landing
    0.70
     landings
    0.64
    ung
    0.60
     reading
    0.59
    reading
    0.57
     Land
    0.55
     meal
    0.54
    Activations Density 0.161%

    No Known Activations