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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 7008
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    Explanations

    character names and titles in a narrative context

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

    proper names and Chinese characters, particularly surnames and place names.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lisäksi
    -0.44
     kiin
    -0.42
     Kühlschrank
    -0.41
     épaules
    -0.40
     vzduchu
    -0.39
    numerusform
    -0.38
     vů
    -0.37
     düzen
    -0.37
     ketat
    -0.37
     cajones
    -0.36
    POSITIVE LOGITS
    SourceChecksum
    0.81
    ########.
    0.62
    脚注の使い方
    0.59
     препратки
    0.58
     XNUMX
    0.56
     Family
    0.56
    GeoNames
    0.53
     snippetHide
    0.52
    /**
    0.52
    
    0.52
    Activations Density 0.064%

    No Known Activations