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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 5242
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    INDEX
    Explanations

    references to wooden products and their characteristics

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

    Types of wood or wooden materials

    np_acts-logits-general · gemini-2.0-flash

    wood and wood products

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ThroughAttribute
    -0.89
    findpost
    -0.63
    ipun
    -0.53
     <<<<<<<<<<<<<<
    -0.53
     Renal
    -0.52
     Bayard
    -0.52
    ReusableCell
    -0.51
    protoimpl
    -0.51
     Dhabi
    -0.50
    ValueStyle
    -0.50
    POSITIVE LOGITS
     wood
    1.98
     Wood
    1.68
    Wood
    1.59
    wood
    1.58
     WOOD
    1.50
     wooden
    1.50
    WOOD
    1.44
     timber
    1.38
     madera
    1.32
     Wooden
    1.29
    Activations Density 0.142%

    No Known Activations