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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 40-GEMMASCOPE-RES-16K
    6. 6917
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ंदीखरीदारी
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    ########.
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     <<<<<<<<<<<<<<
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    PyExc
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     inked
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    serviceWorker
    -0.43
    tangentMode
    -0.43
    POSITIVE LOGITS
     remark
    0.48
    apply
    0.47
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    0.45
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    0.44
    remark
    0.43
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    0.42
     APPLY
    0.40
    Remark
    0.39
     introduce
    0.39
     Apply
    0.39
    Activations Density 0.116%

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