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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 23-GEMMASCOPE-RES-16K
    6. 5933
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    terms related to military personnel and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defence
    -0.57
    SequentialGroup
    -0.56
    Defence
    -0.54
    abase
    -0.51
     militaires
    -0.50
    enumii
    -0.49
     GBIF
    -0.49
    navy
    -0.48
     naval
    -0.48
     Defence
    -0.48
    POSITIVE LOGITS
     Company
    0.78
    AndEndTag
    0.74
     company
    0.66
    Company
    0.65
    SharedDtor
    0.63
     COMPANY
    0.62
    RenderAtEndOf
    0.60
     autorytatywna
    0.60
     medic
    0.59
    HasAnnotation
    0.58
    Activations Density 0.208%

    No Known Activations