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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 23-GEMMASCOPE-RES-16K
    6. 4132
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    terms related to chemical substances and their concentrations in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    gs
    -0.38
    以便
    -0.37
     Tali
    -0.36
     Selv
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    のは
    -0.36
     spos
    -0.36
    (
    -0.35
     Comer
    -0.35
     who
    -0.35
    +=
    -0.34
    POSITIVE LOGITS
     дописавши
    0.87
    Geplaatst
    0.82
    abestanden
    0.81
    SourceChecksum
    0.81
     noqa
    0.80
    GEBURTSDATUM
    0.80
     did
    0.79
     EconPapers
    0.78
     مرئيه
    0.77
    contentLoaded
    0.77
    Activations Density 0.044%

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