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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 4321
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    specific names or proper nouns related to characters, authors, or entities in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    <unused43>
    -0.96
    <unused41>
    -0.95
    <unused74>
    -0.95
    <unused76>
    -0.95
    <unused28>
    -0.94
    <unused17>
    -0.94
    <unused42>
    -0.94
    <unused47>
    -0.94
    <pad>
    -0.94
    <unused16>
    -0.94
    POSITIVE LOGITS
     médié
    0.35
     contemporaine
    0.32
     siedz
    0.31
     wichtigste
    0.30
     czł
    0.30
     pierres
    0.30
     púrpura
    0.30
     Celui
    0.29
     piedras
    0.29
     vuoden
    0.28
    Activations Density 0.891%

    No Known Activations