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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. 4932
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    Explanations

    words related to being wet or moisture

    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
    Override
    -0.97
    Tel
    -0.86
     Tel
    -0.84
     Override
    -0.79
     tel
    -0.79
    DockStyle
    -0.79
    override
    -0.73
     Hogarth
    -0.71
    Clik
    -0.70
    WebServlet
    -0.66
    POSITIVE LOGITS
     wet
    1.58
     Wet
    1.46
    Wet
    1.37
    wet
    1.33
     WET
    1.14
    WET
    1.11
     Lane
    0.90
     wetting
    0.79
     lane
    0.73
     basah
    0.72
    Activations Density 0.024%

    No Known Activations