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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 7223
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    references to specific types of grain and jar files related to programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     InputDecoration
    -0.68
    oredCriteria
    -0.67
    ReusableCell
    -0.59
     الحره
    -0.56
     betweenstory
    -0.52
     AssemblyTitle
    -0.52
     Cognac
    -0.52
    fromnode
    -0.51
     jScrollPane
    -0.51
     Rodin
    -0.50
    POSITIVE LOGITS
     jar
    0.61
     grain
    0.59
    Rest
    0.53
     Rest
    0.53
     Jar
    0.51
    jar
    0.49
    Jar
    0.47
     Grain
    0.45
    uc
    0.44
     REST
    0.44
    Activations Density 0.448%

    No Known Activations