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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 9341
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    Explanations

    references to the name "Cataldo" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    catal sounds followed by do

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     présidenti
    -0.54
     raiſ
    -0.48
     térmica
    -0.48
     Umgang
    -0.47
     estekak
    -0.47
    Aleks
    -0.45
    ICom
    -0.44
     térmico
    -0.44
     otomatig
    -0.43
     fubject
    -0.42
    POSITIVE LOGITS
    Catal
    2.14
     Catal
    2.11
     catal
    2.02
    catal
    1.94
     Catalan
    1.77
     Catalina
    1.73
     Catalonia
    1.52
     katal
    1.39
     Katal
    1.38
     CAT
    1.30
    Activations Density 0.004%

    No Known Activations