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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8508
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    punctuation and structural elements in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    <unused52>
    -1.19
    <unused8>
    -1.18
    <unused28>
    -1.18
    <unused74>
    -1.18
    <unused14>
    -1.18
    [@BOS@]
    -1.18
    <unused16>
    -1.18
    <unused68>
    -1.18
    <pad>
    -1.17
    <unused3>
    -1.17
    POSITIVE LOGITS
     [
    0.43
     —
    0.36
     `
    0.31
     (
    0.30
     The
    0.29
    .—
    0.28
     I
    0.26
    [
    0.26
     II
    0.26
     "
    0.25
    Activations Density 0.908%

    No Known Activations