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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 7868
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    Explanations

    references to different types of bags and packaging

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Erstellt
    -0.44
     تانيه
    -0.38
    keyboardType
    -0.38
    javax
    -0.37
    //=
    -0.36
    AddressBook
    -0.36
    tako
    -0.35
    жнему
    -0.35
    FXML
    -0.35
    writeHead
    -0.35
    POSITIVE LOGITS
     bags
    1.04
     theft
    1.01
     Bags
    1.00
     sacks
    0.97
     Theft
    0.96
    Bags
    0.96
     stolen
    0.93
     sack
    0.93
     bagged
    0.93
     Sack
    0.86
    Activations Density 0.479%

    No Known Activations