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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 802
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    Explanations

    instances of the word "armed", indicating a focus on military or violent contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CommonModule
    -0.80
     typelib
    -0.74
    WriteAttribute
    -0.73
    tomans
    -0.69
     @"/
    -0.65
    GOTREF
    -0.65
    OrNil
    -0.64
     aprecia
    -0.63
     mortem
    -0.62
    GeoNames
    -0.62
    POSITIVE LOGITS
     armed
    1.63
    Armed
    1.39
     Armed
    1.39
    armed
    1.17
     arms
    0.93
     воору
    0.91
     Appearance
    0.82
     armados
    0.79
    yarnpkg
    0.79
     Arms
    0.79
    Activations Density 0.074%

    No Known Activations