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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. 7709
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    INDEX
    Explanations

    variations of the word "bed" in different contexts

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

    near "bed"

    np_acts-logits-general · gemini-2.0-flash

    bed and bath

    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
    setContentType
    -0.39
    minyak
    -0.38
    beratung
    -0.37
     alça
    -0.37
    kracht
    -0.35
     Silas
    -0.35
    rauch
    -0.35
     Dark
    -0.34
     cons
    -0.34
    tipp
    -0.34
    POSITIVE LOGITS
     Bed
    0.68
    Bed
    0.65
     Beds
    0.60
    msgTypes
    0.57
    Beds
    0.57
     bed
    0.57
     BED
    0.56
    RotationOrder
    0.56
    errHandler
    0.54
    fordshire
    0.54
    Activations Density 0.077%

    No Known Activations