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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 8705
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    Explanations

    references to firearms and ammunition types

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Espèce
    -0.58
     Shooting
    -0.53
     shooting
    -0.52
    GEBURTSDATUM
    -0.50
    Shooting
    -0.50
     guns
    -0.46
    shooting
    -0.44
    writeFieldEnd
    -0.44
     Anlagen
    -0.43
     gun
    -0.42
    POSITIVE LOGITS
     rounds
    0.88
     shells
    0.79
     cartridges
    0.79
     magazines
    0.78
     magazine
    0.77
     cartridge
    0.73
     Rounds
    0.71
     shell
    0.69
    Rounds
    0.69
     Shells
    0.69
    Activations Density 0.439%

    No Known Activations