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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 9101
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    Explanations

    terms related to specific attributes or measurements, particularly lengths and the act of wearing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roskov
    -0.66
    Personendaten
    -0.63
    Bibliograf
    -0.57
    AsUp
    -0.56
     autorytatywna
    -0.55
    出版年
    -0.54
     Reisedaten
    -0.52
    futbolista
    -0.52
    keyColumn
    -0.51
    openzeppelin
    -0.51
    POSITIVE LOGITS
     sky
    0.66
     wears
    0.57
    len
    0.55
     worn
    0.54
     wear
    0.54
     wore
    0.50
     wearing
    0.49
    wearing
    0.48
     Wearing
    0.47
    Wearing
    0.46
    Activations Density 0.091%

    No Known Activations