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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. 1600
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    Explanations

    references to the term "mag" in various contexts

    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
    urée
    -0.36
     Omnibus
    -0.36
     Lohn
    -0.35
     betweenstory
    -0.35
     gekomen
    -0.33
    Aholisi
    -0.33
    bogen
    -0.32
     Malte
    -0.31
     Ejecutivo
    -0.31
    нного
    -0.30
    POSITIVE LOGITS
     mag
    1.87
     Mag
    1.68
    Mag
    1.67
    mag
    1.64
     MAG
    1.62
    MAG
    1.53
     Magic
    1.46
     Magn
    1.43
     magic
    1.43
    Magic
    1.42
    Activations Density 1.615%

    No Known Activations