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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 9771
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    Explanations

    references to vehicles in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     autorytatywna
    -0.48
    ifrance
    -0.47
     parseFrom
    -0.45
     jsPsych
    -0.45
    iexcl
    -0.44
    FieldBuilder
    -0.44
     समीक्षाएं
    -0.40
    !*\
    -0.40
    VolleyError
    -0.40
     punch
    -0.40
    POSITIVE LOGITS
     doors
    0.91
     door
    0.77
     shutters
    0.66
     Doors
    0.65
     gates
    0.64
     curtains
    0.63
    doors
    0.63
     lights
    0.62
    Doors
    0.62
     windows
    0.59
    Activations Density 0.313%

    No Known Activations