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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 4607
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    INDEX
    Explanations

    occurrences of the word "there" in various contexts

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

    "there" followed by a form of "to be"

    np_acts-logits-general · gemini-2.0-flash

    there is/are/was/were

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ViewImports
    -0.45
    asional
    -0.43
    lass
    -0.40
     ujednoznacz
    -0.40
    gebob
    -0.40
     syp
    -0.40
    iper
    -0.39
    leria
    -0.39
    igin
    -0.38
     copying
    -0.38
    POSITIVE LOGITS
     are
    0.88
     is
    0.77
     aren
    0.61
     was
    0.59
     exists
    0.58
     isn
    0.57
     were
    0.57
     wasn
    0.53
     weren
    0.52
    fromnode
    0.50
    Activations Density 0.119%

    No Known Activations