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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 6465
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    materials and their compositions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DispatchToProps
    -0.51
     puentes
    -0.47
     escote
    -0.46
     pingente
    -0.45
     tirantes
    -0.45
    createServer
    -0.45
     espesor
    -0.44
     Biôgrafia
    -0.44
     colgantes
    -0.43
     debout
    -0.43
    POSITIVE LOGITS
     plastic
    1.03
     ceramic
    0.93
     wood
    0.91
     fiberglass
    0.91
     glass
    0.90
     plastics
    0.88
     aluminum
    0.87
     aluminium
    0.83
    plastic
    0.83
     ceramics
    0.82
    Activations Density 0.682%

    No Known Activations