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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 8063
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    Explanations

    information about rodent trapping methods and specifics of traps used

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.71
    AccessorTable
    -0.66
    IndentedString
    -0.62
    PerformLayout
    -0.62
     <>",
    -0.60
     AssemblyCulture
    -0.58
     صوتيه
    -0.58
     AspNetCore
    -0.57
    VIAF
    -0.56
     CreateTagHelper
    -0.56
    POSITIVE LOGITS
     traps
    1.02
     trap
    0.98
     Traps
    0.93
    trap
    0.86
     Trap
    0.78
    Trap
    0.77
     bait
    0.77
     trapping
    0.75
     catch
    0.70
    陷阱
    0.69
    Activations Density 0.330%

    No Known Activations