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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. 538
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    measurements related to water quality and chemical concentrations

    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
     (!__
    -0.37
    Билгалдахарш
    -0.36
    +#+#
    -0.35
     Juifs
    -0.33
    AutoScaleMode
    -0.32
     kolorze
    -0.31
     zout
    -0.31
     planetas
    -0.31
     ministres
    -0.31
    GEBURTSDATUM
    -0.31
    POSITIVE LOGITS
     soils
    0.88
     samples
    0.86
     soil
    0.82
     tissues
    0.79
     matrices
    0.72
     Matrices
    0.71
     sediments
    0.70
    samples
    0.68
     foodstuffs
    0.68
     Samples
    0.66
    Activations Density 1.934%

    No Known Activations