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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. 35368
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    INDEX
    Explanations

    the use of conjunctions and the occurrence of lists or sequences in text

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

    and lists

    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
     féminin
    -0.39
     financieras
    -0.38
     chinois
    -0.38
     løpet
    -0.35
     griego
    -0.35
     asiatique
    -0.34
     literario
    -0.33
     Grüsse
    -0.33
     féminine
    -0.33
     desconocido
    -0.33
    POSITIVE LOGITS
    webf
    0.51
    omotor
    0.50
    aarrggbb
    0.50
     Basso
    0.50
    titch
    0.50
     incrí
    0.49
    spun
    0.48
     WIRE
    0.48
    ragment
    0.47
    ddress
    0.47
    Activations Density 0.055%

    No Known Activations