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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. 10756
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    Explanations

    references to shelves and their arrangements in a storage context

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

    shelves and shelving

    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
     Viator
    -0.53
     Barton
    -0.52
    jackson
    -0.49
    cipar
    -0.49
     factor
    -0.47
    getAction
    -0.47
    toInt
    -0.47
    selaer
    -0.47
     uintptr
    -0.47
     Jackson
    -0.46
    POSITIVE LOGITS
     shelves
    1.69
     Shelves
    1.48
     shelving
    1.10
    helves
    0.96
    Shel
    0.83
     shelf
    0.82
     Shelf
    0.78
    Shelf
    0.75
     étag
    0.73
    shel
    0.72
    Activations Density 0.002%

    No Known Activations