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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10136
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    words related to vehicle equipment and safety features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hound
    -0.42
    WithIdentifier
    -0.39
     Asser
    -0.39
     Hound
    -0.38
    nand
    -0.38
    Delimited
    -0.37
    urous
    -0.37
    öße
    -0.37
    RTSN
    -0.37
     sve
    -0.36
    POSITIVE LOGITS
     Schutz
    0.51
     protect
    0.50
     secours
    0.50
     protects
    0.50
     protecting
    0.49
     protectora
    0.48
     Brücke
    0.48
     Schrauben
    0.48
    Schutz
    0.47
     Wurzeln
    0.47
    Activations Density 0.550%

    No Known Activations