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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 85441
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    Explanations

    citations and references from scientific literature

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

    authors' surnamesThe surnames `Gu`, `Burch`, `Kats`, `Cava`, `Scal`, `Haro`, `Scarola`, and `Garland` appear frequently in the `TOP_ACTIVATING_TEXTS`.The `MAX_ACTIVATING_TOKENS` list contains fragments that *could* precede surnames (e.g. `Scar`, `Gar`, `dres`, `hof`). scientific authors' surnames

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     participatory
    -0.30
     Demp
    -0.30
     ویکی‌پدی
    -0.29
    RTHOOK
    -0.28
    BindingSource
    -0.27
     kock
    -0.27
     dig
    -0.26
     computerized
    -0.25
     ayudarte
    -0.25
     den
    -0.25
    POSITIVE LOGITS
    材料
    0.76
    PhysRev
    0.76
    Materials
    0.75
     AssemblyTitle
    0.72
    materials
    0.72
     fabricate
    0.71
    stateProvider
    0.71
     Materials
    0.71
     nanos
    0.70
     MATERIALS
    0.69
    Activations Density 0.243%

    No Known Activations