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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. 10342
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    phrases related to professional roles and career trajectories

    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
    protoimpl
    -0.68
    sizeCache
    -0.62
    #
    -0.61
     للمعارف
    -0.60
    featureID
    -0.59
    цездатний
    -0.59
    ----</
    -0.58
     EClass
    -0.58
    SourceChecksum
    -0.57
    MemoryWarning
    -0.55
    POSITIVE LOGITS
     bēr
    0.36
     throughout
    0.35
     financiero
    0.33
     Landwirtschaft
    0.32
    PARATUS
    0.32
    throughout
    0.32
     Pfar
    0.31
    曖昧さ回避
    0.31
    那时
    0.31
     Pfarr
    0.30
    Activations Density 0.061%

    No Known Activations