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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 16303
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    Explanations

    descriptive features of footwear and their materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tartalomajánló
    -0.71
     Perſ
    -0.49
    Expensive
    -0.47
     customised
    -0.46
     Beſ
    -0.46
    ſelves
    -0.46
     bespoke
    -0.46
    ftance
    -0.45
     bagi
    -0.44
     purpoſe
    -0.43
    POSITIVE LOGITS
     Measures
    0.53
    aarrggbb
    0.52
     measures
    0.46
    Measures
    0.46
    FieldOffsetTable
    0.43
     coordinating
    0.42
     Includes
    0.41
     Wipe
    0.41
     Approx
    0.40
    mstyle
    0.40
    Activations Density 0.154%

    No Known Activations