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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 15357
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    Explanations

    references to moisture or wetness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Komunikasi
    -0.48
     invari
    -0.47
     Keuangan
    -0.46
     Jenderal
    -0.41
    ništvo
    -0.41
     armé
    -0.40
     Lingkungan
    -0.40
     Ně
    -0.39
     essential
    -0.39
     vastaan
    -0.39
    POSITIVE LOGITS
     wet
    0.85
     dry
    0.80
    MigrationBuilder
    0.72
     Wet
    0.66
     mild
    0.66
     дописавши
    0.65
     Mil
    0.63
     WET
    0.63
     damp
    0.61
    wet
    0.60
    Activations Density 0.283%

    No Known Activations