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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10292
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    Explanations

    descriptions of trails or paths, particularly emphasizing their attributes and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    a challenging or difficult terrain

    np_acts-logits-general · gemini-2.0-flash

    steep, rough, or uneven terrain

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedCtor
    -0.63
    ApiModel
    -0.57
    出版年
    -0.55
    VolleyError
    -0.52
     محفوظة
    -0.52
     adjournment
    -0.51
    sizeCache
    -0.50
    onViewCreated
    -0.48
    TypedDataSet
    -0.48
    HttpDelete
    -0.47
    POSITIVE LOGITS
     uneven
    0.96
     slippery
    0.94
     steep
    0.93
     rocky
    0.84
     steeper
    0.84
     slope
    0.80
     bumpy
    0.80
     gradient
    0.79
     rough
    0.79
     gradients
    0.78
    Activations Density 0.155%

    No Known Activations