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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10592
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    terms related to guards and security personnel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Monfieur
    -0.45
    Enllaces
    -0.45
     sánchez
    -0.41
     himſelf
    -0.41
    .*")]
    -0.41
     patate
    -0.41
     ſeveral
    -0.40
     probab
    -0.40
     itſelf
    -0.40
     myſelf
    -0.40
    POSITIVE LOGITS
     guard
    1.14
     Guard
    1.09
     guards
    1.07
     wardrobe
    1.03
    ward
    1.03
     garde
    0.92
     Garde
    0.90
     Guards
    0.89
     Wardrobe
    0.89
     GUARD
    0.86
    Activations Density 0.211%

    No Known Activations