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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. 5837
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    Explanations

    references to the term "wood" and its variations

    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
     ubezpiec
    -0.46
    ValueStyle
    -0.43
    TagMode
    -0.43
     málo
    -0.43
     giornal
    -0.41
    tabak
    -0.40
     gezin
    -0.40
    pośred
    -0.39
     artysty
    -0.38
     beginnetje
    -0.38
    POSITIVE LOGITS
     Wood
    0.76
    Wood
    0.75
     WOOD
    0.64
     wood
    0.62
     Holz
    0.58
     ウッド
    0.56
     chips
    0.55
    pecker
    0.53
     Timber
    0.50
    wood
    0.50
    Activations Density 0.072%

    No Known Activations