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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 7503
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    Explanations

    references to calcium compounds and their variations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    The token "Cal"

    np_acts-logits-general · gemini-2.0-flash

    Calcineurin

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     pro
    -0.31
     im
    -0.30
    lerinden
    -0.29
     suje
    -0.29
     pros
    -0.28
    lerini
    -0.28
     novio
    -0.28
    slideUp
    -0.27
    INSON
    -0.27
    sters
    -0.27
    POSITIVE LOGITS
     Cal
    0.69
    Cal
    0.66
     cal
    0.65
     CAL
    0.63
     Calder
    0.61
    callee
    0.61
    acal
    0.60
    AddTagHelper
    0.59
     Calvert
    0.59
     Callahan
    0.58
    Activations Density 0.224%

    No Known Activations