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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 8899
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    Explanations

    occurrences of the term "Cal" and its variations, suggesting a focus on a specific subject or category related to calcium or a similar concept

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NameInMap
    -0.73
     محفوظة
    -0.71
    цездатний
    -0.69
    RenderAtEndOf
    -0.64
    ftagPool
    -0.64
     linkovi
    -0.64
    fjspx
    -0.61
    PyExc
    -0.59
    nodoc
    -0.57
    PostInfinity
    -0.57
    POSITIVE LOGITS
     Cal
    0.73
    ea
    0.68
    Cal
    0.63
     Bu
    0.60
     Kal
    0.59
     cal
    0.54
     bu
    0.52
    Bu
    0.50
     Lewis
    0.48
     calibration
    0.47
    Activations Density 0.584%

    No Known Activations