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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 716
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    Explanations

    terms related to forest management and ecological impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    findpost
    -0.50
     صوتيه
    -0.49
    adaptiveStyles
    -0.47
    WithIOException
    -0.45
    centralwidget
    -0.43
    fillType
    -0.40
    HasAnnotation
    -0.38
    migrations
    -0.37
     Hickman
    -0.36
     NSCoder
    -0.36
    POSITIVE LOGITS
     forest
    1.77
     Forest
    1.59
     forestry
    1.59
    Forest
    1.59
    forest
    1.55
     forests
    1.52
     timber
    1.48
     FOREST
    1.47
     Forestry
    1.45
     wood
    1.38
    Activations Density 0.472%

    No Known Activations