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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 306
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    Explanations

    references to parameters in a scientific or technical context

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

    The neuron activates strongly for the word "parameter" and related technical/mathematical terms in scientific contexts.

    oai_token-act-pair · claude-3-7-sonnet-20250219Triggered by @neilrathi

    the word "parameter" in scientific and technical documents.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    原始内容存档于
    -0.54
    RenderAtEndOf
    -0.45
    pausal
    -0.45
    MergeFrom
    -0.43
    SequentialGroup
    -0.43
     ganchillo
    -0.42
    tagHelperRunner
    -0.41
    jsxFileName
    -0.41
    ymce
    -0.41
    TypedDataSet
    -0.40
    POSITIVE LOGITS
     Param
    0.69
     param
    0.66
     Parameter
    0.64
    aters
    0.59
     useParams
    0.55
     PARAM
    0.55
    param
    0.53
     parameter
    0.52
     Пара
    0.52
     Parameters
    0.51
    Activations Density 0.124%

    No Known Activations