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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 1013
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    Explanations

    quantities and statistics related to group sizes and attendance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LookAnd
    -0.59
     ✭✭
    -0.39
    principalColumn
    -0.34
    AndEndTag
    -0.33
    Precalculus
    -0.33
    ViewFeatures
    -0.32
    ValueStyle
    -0.31
     intelig
    -0.31
    CascadeType
    -0.30
    SequentialGroup
    -0.30
    POSITIVE LOGITS
    人数
    0.64
    人數
    0.62
    edback
    0.60
     attendance
    0.56
    capacity
    0.54
     conting
    0.54
     trainees
    0.52
     kişilik
    0.51
     đông
    0.50
     Attendance
    0.50
    Activations Density 0.483%

    No Known Activations