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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 6508
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     AssemblyCulture
    -0.66
    enterOuterAlt
    -0.55
     оригіналу
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     ***!
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     AssemblyCompany
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    PullParser
    -0.50
    AddTagHelper
    -0.49
    rungsseite
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    #
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    Hentet
    -0.45
    POSITIVE LOGITS
     lära
    0.44
    addContainerGap
    0.42
     Photocase
    0.42
     Geruch
    0.41
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    0.41
     perumahan
    0.40
     Wohnungen
    0.40
     entrenamiento
    0.40
    Wymiary
    0.40
    ChildScrollView
    0.38
    Activations Density 0.447%

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