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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 3528
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    Explanations

    references to "Mad" 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 @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.54
     Tugas
    -0.44
     viola
    -0.44
    WireFormatLite
    -0.43
    noinspection
    -0.42
    apeake
    -0.41
    atoday
    -0.38
     cuda
    -0.38
     violen
    -0.38
     VPC
    -0.38
    POSITIVE LOGITS
     prop
    1.06
     Mad
    1.04
    prop
    1.02
    Mad
    0.96
     Prop
    0.91
     PROP
    0.86
    Prop
    0.85
    props
    0.83
     procuring
    0.75
     props
    0.75
    Activations Density 0.098%

    No Known Activations