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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 15469
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    Explanations

    mentions of notable individuals, particularly in the context of their actions or contributions in sports or politics

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

    before a verb in the infinitive form or the word "and"

    np_acts-logits-general · gemini-2.0-flash

    recruited or brought in

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 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
    Not in Any Lists

    No Comments

    Negative Logits
    AutoScaleMode
    -0.72
    GEBURTSDATUM
    -0.69
    EndInit
    -0.67
    DeleteBehavior
    -0.63
    CodedInputStream
    -0.62
    Koordinaten
    -0.59
     doInBackground
    -0.59
    хьтан
    -0.59
    Gweler
    -0.59
     المعيارى
    -0.58
    POSITIVE LOGITS
     bringing
    0.86
     brought
    0.82
     bring
    0.81
     induct
    0.76
    Bringing
    0.75
     Bringing
    0.75
    bringing
    0.72
    bring
    0.71
     recruited
    0.71
     Brought
    0.68
    Activations Density 0.299%

    No Known Activations