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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 3381
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    Explanations

    the word "have" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueStyle
    -0.57
    RegressionTest
    -0.51
     perſon
    -0.44
    executeQuery
    -0.44
    resultList
    -0.42
    PerformLayout
    -0.42
    ToDecimal
    -0.41
    clientY
    -0.41
     diagon
    -0.41
    nodeList
    -0.41
    POSITIVE LOGITS
    MenuInflater
    0.64
     punya
    0.62
     Administrativna
    0.62
    有过
    0.61
    have
    0.59
     lenker
    0.56
    有一
    0.56
    unyai
    0.56
     haben
    0.56
    Tienes
    0.56
    Activations Density 0.185%

    No Known Activations