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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 6101
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    Explanations

    references or mentions of bears, particularly in various contexts

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

    "bear" or "bears"

    np_acts-logits-general · gemini-2.0-flash

    bear and teddy bear

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AnchorStyles
    -0.59
     onPostExecute
    -0.54
    ciutto
    -0.53
     Vod
    -0.52
     smtplib
    -0.52
     Dede
    -0.51
     Flushing
    -0.50
    ToAction
    -0.49
     Ques
    -0.49
    chyma
    -0.48
    POSITIVE LOGITS
     bear
    3.47
     bears
    3.08
     Bear
    3.08
    Bear
    3.00
    bear
    2.95
     BEAR
    2.94
    bears
    2.63
     Bears
    2.63
    BEAR
    2.60
     bearing
    2.59
    Activations Density 0.193%

    No Known Activations