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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 8850
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    Explanations

    names of individuals and references to specific people, particularly in a legal or crime-related context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Попис
    -0.52
     lp
    -0.49
    DockStyle
    -0.48
     sn
    -0.48
     cra
    -0.46
     sk
    -0.45
    elemField
    -0.45
    AnchorStyles
    -0.44
     sl
    -0.43
     bra
    -0.43
    POSITIVE LOGITS
    were
    0.58
    umbe
    0.51
    kung
    0.50
    wala
    0.50
    boro
    0.48
    bebe
    0.48
    umbi
    0.48
    jenje
    0.48
    wana
    0.47
    wang
    0.47
    Activations Density 0.248%

    No Known Activations