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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 11129
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    Explanations

    references to timber management and its impact on forests

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

    words and phrases related to forest management practices and silvicultural treatments.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    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
    -0.60
    IntoConstraints
    -0.52
    LookAnd
    -0.50
    RenderAtEndOf
    -0.50
    GEBURTSDATUM
    -0.50
     oprot
    -0.50
    AsUp
    -0.50
     Audiodateien
    -0.50
     صوتيه
    -0.50
    MemoryWarning
    -0.48
    POSITIVE LOGITS
     forest
    1.06
     forestry
    1.04
     timber
    1.02
    Forest
    0.94
    forest
    0.92
     Forest
    0.92
     logging
    0.91
     wood
    0.90
     lumber
    0.89
     Forestry
    0.89
    Activations Density 0.282%

    No Known Activations