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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 11076
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    references to vegetables and related dietary concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    MigrationBuilder
    -0.63
     vec
    -0.54
    Filmografie
    -0.54
     edi
    -0.49
     Lic
    -0.49
     logic
    -0.49
     sum
    -0.48
     Lim
    -0.48
    Filmografia
    -0.47
     serr
    -0.47
    POSITIVE LOGITS
    Problem
    0.84
     Problem
    0.69
     PROBLEM
    0.69
    PROBLEM
    0.65
     Kindheit
    0.64
    problem
    0.63
     exhibición
    0.61
     mijne
    0.61
     elaboración
    0.60
     imaginación
    0.60
    Activations Density 0.262%

    No Known Activations