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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 15122
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    Explanations

    terms related to wood and its properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     themſelves
    -0.53
    UnitTesting
    -0.52
     itſelf
    -0.51
    Демографія
    -0.50
     ſche
    -0.48
     myſelf
    -0.48
     ModelExpression
    -0.47
     uſed
    -0.47
    RenderAtEndOf
    -0.46
     ſtate
    -0.45
    POSITIVE LOGITS
     wood
    1.20
     WOOD
    1.13
    Wood
    1.05
    WOOD
    1.03
     Wood
    1.01
    wood
    1.00
     timber
    0.96
     Holz
    0.94
     madera
    0.89
     ahşap
    0.89
    Activations Density 1.756%

    No Known Activations