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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 15894
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    Explanations

    structural and organizational elements within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     jScrollPane
    -0.69
     milliers
    -0.58
     berbagai
    -0.56
     Wiktionnaire
    -0.56
     birçok
    -0.55
     centaines
    -0.55
    ต่างๆ
    -0.53
     tartalomajánló
    -0.52
     pelbagai
    -0.52
     lenker
    -0.52
    POSITIVE LOGITS
     apiece
    1.17
     each
    1.00
     namely
    0.98
     totaling
    0.90
    分别是
    0.89
    分別
    0.88
     totalling
    0.84
     plus
    0.84
     consecutively
    0.80
     respectively
    0.80
    Activations Density 0.906%

    No Known Activations