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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 4134
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    Explanations

    references to wood and its applications in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WriteTagHelper
    -0.43
    ngdoc
    -0.42
     Gell
    -0.39
    lapsingToolbar
    -0.37
    chartInstance
    -0.35
     Ariana
    -0.33
    tagext
    -0.33
    كتشاف
    -0.32
     ***!
    -0.31
    findpost
    -0.31
    POSITIVE LOGITS
     wood
    3.20
     Wood
    2.83
    Wood
    2.77
     WOOD
    2.73
     wooden
    2.52
    wood
    2.48
    WOOD
    2.48
     Wooden
    2.36
     madera
    2.34
     timber
    2.23
    Activations Density 0.756%

    No Known Activations