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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 12485
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    Explanations

    references to military ranks or titles

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    TemporalType
    -0.64
    ########.
    -0.55
    DebuggerNonUser
    -0.52
     CascadeType
    -0.46
    weakSelf
    -0.46
    msgTypes
    -0.46
    ubourg
    -0.46
    TagHelpers
    -0.44
     MainAxisSize
    -0.44
     yuk
    -0.44
    POSITIVE LOGITS
    Pirate
    0.61
     pirata
    0.58
    Captain
    0.55
     Captain
    0.55
     capitaine
    0.55
    captain
    0.55
     Pirate
    0.54
     piratas
    0.54
    Treasure
    0.54
    Portail
    0.53
    Activations Density 0.167%

    No Known Activations