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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 88568
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    INDEX
    Explanations

    various types of items or objects commonly encountered in everyday scenarios

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

    word beginnings

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     שוליים
    -0.85
    URLException
    -0.73
    [@BOS@]
    -0.73
    <unused51>
    -0.73
    <unused23>
    -0.73
    <pad>
    -0.73
    <unused28>
    -0.72
    <unused41>
    -0.72
    <unused14>
    -0.72
    <unused8>
    -0.72
    POSITIVE LOGITS
     PyLong
    0.37
     ball
    0.32
     fucking
    0.32
     fuckin
    0.31
     plates
    0.30
    نب
    0.30
     phone
    0.29
    -
    0.28
     paper
    0.28
     egg
    0.28
    Activations Density 0.036%

    No Known Activations