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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 1365
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    elements related to combat and fighting styles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sintering
    -0.43
     wilderness
    -0.42
    +:+
    -0.41
     adesivos
    -0.40
    HomeAsUpEnabled
    -0.39
    PyExc
    -0.39
    ervlak
    -0.38
    setViewportView
    -0.38
     Exped
    -0.37
    ífer
    -0.37
    POSITIVE LOGITS
     combos
    0.74
     combo
    0.74
     Street
    0.69
    Street
    0.63
     Combo
    0.60
    Combo
    0.58
    combo
    0.58
     inputs
    0.58
     STREET
    0.57
     cancel
    0.54
    Activations Density 0.130%

    No Known Activations