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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 4057
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    Explanations

    references to railroad crossings and warning systems related to trains

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

    road or railroad crossings

    np_acts-logits-general · gemini-2.0-flash

    crossing and pedestrians

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    setVerticalGroup
    -0.64
    ⤹
    -0.56
    errHandler
    -0.56
     nakalista
    -0.50
    DIPSETTING
    -0.49
    CloseOperation
    -0.49
    msgTypes
    -0.49
    BufferException
    -0.48
    AndEndTag
    -0.47
    WriteAttribute
    -0.47
    POSITIVE LOGITS
     crossing
    0.65
     pedestrian
    0.57
     pedestrians
    0.56
     crossings
    0.56
    crossing
    0.52
     Pedestrian
    0.50
     Crossing
    0.48
    Crossing
    0.47
    estrian
    0.43
     Railways
    0.43
    Activations Density 0.190%

    No Known Activations