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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10543
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    Explanations

    references to wood and wooden products

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

    "wood" and woodworking

    np_acts-logits-general · gemini-2.0-flash

    wood and wooden surfaces

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \{\\
    -0.56
    ValueStyle
    -0.51
    razine
    -0.46
     Anthem
    -0.46
    lorette
    -0.45
    parsedMessage
    -0.44
    ashqai
    -0.41
    ToAction
    -0.41
    Tikang
    -0.40
    ாள
    -0.40
    POSITIVE LOGITS
     wood
    2.23
     Wood
    2.09
    Wood
    2.03
     WOOD
    1.88
    wood
    1.85
    WOOD
    1.71
     wooden
    1.65
     Wooden
    1.59
     madera
    1.51
    wooden
    1.51
    Activations Density 0.141%

    No Known Activations