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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 14758
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    Explanations

    references to pieces of clothing and personal belongings involved in a narrative context

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

    clothing or square roots

    np_acts-logits-general · gemini-2.0-flash

    clothing and mathematical expressions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     springfox
    -0.46
    TypedDataSet
    -0.43
     PyLong
    -0.39
     newBuilder
    -0.36
     toys
    -0.35
     Hep
    -0.34
     tec
    -0.34
     Toys
    -0.34
     electr
    -0.33
     Wood
    -0.33
    POSITIVE LOGITS
     wearer
    0.98
     wearing
    0.90
     worn
    0.88
     Wearing
    0.88
     donned
    0.86
    Wearing
    0.84
     wears
    0.83
     wear
    0.83
     indoss
    0.82
     wore
    0.79
    Activations Density 0.248%

    No Known Activations