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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. 17040
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    Explanations

    terms related to "slamming" or strong impacts, particularly in a physical or metaphorical context

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

    slam

    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
    PTC
    -0.50
    qtype
    -0.45
     FetchType
    -0.44
    ínű
    -0.43
     DCC
    -0.42
     Rayon
    -0.42
     TPM
    -0.41
     Carthage
    -0.41
     PTC
    -0.40
    RectangleBorder
    -0.40
    POSITIVE LOGITS
     slam
    1.81
     Slam
    1.71
     slammed
    1.63
     slamming
    1.63
    slam
    1.59
     slams
    1.52
    Slam
    1.51
     Sla
    0.96
    Sla
    0.91
     smash
    0.83
    Activations Density 0.002%

    No Known Activations