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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 115444
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    INDEX
    Explanations

    terms related to specific biological entities and their interactions within ecosystems

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

    moss, lichen, peat, bog, fen, sponge

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    <pad>
    -0.90
    <unused14>
    -0.90
    [@BOS@]
    -0.90
    <unused17>
    -0.90
    <unused74>
    -0.90
    <unused43>
    -0.90
    <unused52>
    -0.90
    <unused51>
    -0.90
    <unused23>
    -0.90
    <unused28>
    -0.90
    POSITIVE LOGITS
     moss
    0.38
     tea
    0.32
     Irland
    0.30
     snow
    0.29
     lending
    0.28
     and
    0.27
     map
    0.27
     (
    0.27
     peat
    0.27
     lichen
    0.26
    Activations Density 0.023%

    No Known Activations