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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. 13982
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    specific formatting and citation elements in academic references

    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
    MigrationBuilder
    -0.94
     AssemblyCulture
    -0.91
    ьажоргаш
    -0.82
    <unused41>
    -0.82
    <unused23>
    -0.81
    <unused43>
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    <unused76>
    -0.81
    <unused74>
    -0.81
    <pad>
    -0.81
    <unused8>
    -0.81
    POSITIVE LOGITS
    ↵↵
    0.46
    .
    0.43
    <eos>
    0.41
     aperçu
    0.37
     duquel
    0.36
    https
    0.35
     and
    0.35
    ↵
    0.34
     But
    0.34
     Also
    0.33
    Activations Density 0.237%

    No Known Activations