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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 298
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    quantifiable data related to waste management and recycling statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngdoc
    -0.56
    ReusableCell
    -0.53
    Географиясе
    -0.52
    EDEFAULT
    -0.51
    postIndex
    -0.49
    請繼續往下閱讀
    -0.49
    contentLoaded
    -0.48
    Personendaten
    -0.48
    Carriera
    -0.45
    ConstraintMaker
    -0.44
    POSITIVE LOGITS
    «
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    0.52
    &
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    «.
    0.49
    £
    0.46
    Mi
    0.46
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    0.44
    Hi
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    0.43
    Activations Density 0.160%

    No Known Activations