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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 14150
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للمعارف
    -1.09
     kasarigan
    -0.92
    niſſe
    -0.88
    ſehen
    -0.87
    ſicht
    -0.85
     يتيمه
    -0.85
     laſſen
    -0.84
     müſſen
    -0.84
    iſchen
    -0.84
    ſchaft
    -0.84
    POSITIVE LOGITS
     is
    0.29
     fácilmente
    0.27
     The
    0.26
     &
    0.26
     ahí
    0.26
    The
    0.26
    _
    0.26
     =
    0.26
     silicona
    0.26
    новништво
    0.26
    Activations Density 2.149%

    No Known Activations