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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 5257
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    Explanations

    references to various forms of powders and their handling processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     directiva
    -0.54
     Directors
    -0.52
    Directors
    -0.51
     directors
    -0.50
     Directive
    -0.47
     aguacate
    -0.47
    endregion
    -0.46
     Directives
    -0.46
     bambú
    -0.45
     DIRECTOR
    -0.45
    POSITIVE LOGITS
    dir
    1.08
     powder
    1.02
     Powder
    0.96
    Powder
    0.92
    powder
    0.87
     powders
    0.82
     dust
    0.76
     powdered
    0.74
     Dust
    0.70
     dir
    0.69
    Activations Density 0.106%

    No Known Activations