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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. 8250
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    occurrences of code generation references and automated documentation

    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
    Not in Any Lists

    No Comments

    Negative Logits
    LookAnd
    -0.79
    SourceChecksum
    -0.75
     للاسماء
    -0.74
     linkovi
    -0.73
    +#+#
    -0.68
     nonUne
    -0.66
     surla
    -0.66
     հղումներ
    -0.66
    탤
    -0.65
     Préférences
    -0.65
    POSITIVE LOGITS
    CodeAttribute
    3.75
    GeneratedCode
    0.69
    CodeDom
    0.65
     attribute
    0.41
    codegen
    0.38
     ATS
    0.37
     DIY
    0.35
    RunWith
    0.35
     AttributeSet
    0.34
     via
    0.33
    Activations Density 0.011%

    No Known Activations