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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 1-GEMMASCOPE-RES-16K
    6. 10723
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    Explanations

    the word "van" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RegressionTest
    -0.52
     Naciones
    -0.46
    anskje
    -0.43
     otomatig
    -0.41
     jouet
    -0.40
     gâteau
    -0.40
     revenu
    -0.40
     pleaſure
    -0.40
     Nachricht
    -0.39
     châssis
    -0.39
    POSITIVE LOGITS
    van
    1.63
    wan
    1.54
     van
    1.36
    VAN
    1.34
     VAN
    1.34
     Van
    1.29
    Van
    1.21
    WAN
    1.19
    Wan
    1.18
     Wan
    1.17
    Activations Density 0.249%

    No Known Activations