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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7342
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    Explanations

    phrases related to attendance or participation at events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "to" followed by a verb of motion

    np_acts-logits-general · gemini-2.0-flash

    come to

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     queſta
    -0.66
     Chwiliwch
    -0.62
     témoig
    -0.61
     fashiola
    -0.61
     ſua
    -0.61
     polaire
    -0.60
    Bibitem
    -0.60
    ambién
    -0.60
     plufieurs
    -0.60
     verſ
    -0.59
    POSITIVE LOGITS
     come
    0.88
     Come
    0.79
     came
    0.77
     comes
    0.73
     coming
    0.71
     Coming
    0.71
    Come
    0.71
    come
    0.70
     COME
    0.68
    Coming
    0.65
    Activations Density 0.171%

    No Known Activations