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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 13795
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    INDEX
    Explanations

    references to wood and related materials or constructs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \{\\
    -0.50
    riwal
    -0.44
    ValueStyle
    -0.44
    werfer
    -0.41
    ashqai
    -0.40
    DotNetBar
    -0.40
     Cauchy
    -0.39
     зая
    -0.39
     forState
    -0.39
    orgh
    -0.39
    POSITIVE LOGITS
     wood
    2.88
     Wood
    2.64
    Wood
    2.55
     WOOD
    2.41
    wood
    2.30
    WOOD
    2.19
     wooden
    2.05
     Wooden
    2.05
     madera
    1.89
    Wooden
    1.86
    Activations Density 0.085%

    No Known Activations