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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 5046
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Detailed
    -0.69
    onyms
    -0.66
     tabl
    -0.66
    ussions
    -0.64
    ksh
    -0.64
    tein
    -0.63
    plings
    -0.60
     cov
    -0.60
    DCS
    -0.60
    hetical
    -0.60
    POSITIVE LOGITS
    atell
    0.80
     Canal
    0.72
    loading
    0.71
    Accessory
    0.70
     Donation
    0.70
    redo
    0.68
     Palest
    0.67
    load
    0.66
    yss
    0.66
    abus
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.