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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 10552
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    Explanations

    specific names and references, particularly related to individuals or institutions

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

    followed by capitalized words

    np_acts-logits-general · gemini-2.0-flash

    names of people and places

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     múltiple
    -0.42
     empresarial
    -0.40
     gruesa
    -0.39
     superiori
    -0.39
     tjen
    -0.39
     gæ
    -0.38
     olvides
    -0.38
     razonable
    -0.38
    ところです
    -0.38
     impreso
    -0.37
    POSITIVE LOGITS
    ########.
    1.03
    CppMethod
    0.76
     <<<<<<<<<<<<<<
    0.70
    KommentareTeilen
    0.70
    IUrlHelper
    0.70
    RTSN
    0.70
    */),
    0.69
     Autorizaciones
    0.68
    PerformLayout
    0.64
    Tembelea
    0.64
    Activations Density 1.361%

    No Known Activations