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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 14197
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    Explanations

    references to noise in the context of data processing or reconstruction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 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
    ########.
    -0.63
    principalColumn
    -0.57
     Individual
    -0.51
    mks
    -0.48
    Clare
    -0.47
     跳转至
    -0.46
    Individual
    -0.46
     Hr
    -0.46
     Hm
    -0.45
    rile
    -0.43
    POSITIVE LOGITS
    saw
    0.68
     saw
    0.67
     Saw
    0.63
    Saw
    0.59
     noise
    0.55
     SAW
    0.52
    SAW
    0.51
     NOISE
    0.50
     con
    0.49
    toMatchSnapshot
    0.49
    Activations Density 0.136%

    No Known Activations