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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 5369
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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 @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    脚注の使い方
    -0.90
    Tembelea
    -0.81
    <unused23>
    -0.81
    <unused14>
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    <unused41>
    -0.81
    <unused8>
    -0.80
    <unused43>
    -0.80
    <unused79>
    -0.80
    <unused51>
    -0.80
    <unused16>
    -0.80
    POSITIVE LOGITS
    .
    0.34
     $
    0.33
    lah
    0.28
    (
    0.28
    $
    0.28
    read
    0.28
    and
    0.28
    do
    0.28
    while
    0.27
    "
    0.27
    Activations Density 0.337%

    No Known Activations