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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13448
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    terms related to animal traps and hunting devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.62
    𝟹
    -0.58
    AsUp
    -0.57
     Paglinawan
    -0.56
    meanor
    -0.52
     nakalista
    -0.52
    SourceChecksum
    -0.52
    Демографія
    -0.52
     Infórmanos
    -0.51
    migrationBuilder
    -0.49
    POSITIVE LOGITS
     traps
    0.56
     trap
    0.51
     Traps
    0.49
     capture
    0.49
     trapping
    0.44
     menangkap
    0.43
     capturing
    0.41
     catching
    0.40
     captures
    0.38
     kills
    0.37
    Activations Density 0.273%

    No Known Activations