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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. 7059
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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
    toggle
    -0.75
    itiz
    -0.72
    iques
    -0.71
    uary
    -0.69
    ardo
    -0.64
    iders
    -0.64
    ayne
    -0.64
    ensation
    -0.63
     means
    -0.62
    illance
    -0.61
    POSITIVE LOGITS
     challeng
    0.71
     captcha
    0.69
     conflic
    0.68
    ASC
    0.67
    pora
    0.67
    omething
    0.67
    mberg
    0.67
    IAS
    0.65
    aution
    0.64
    aditional
    0.62
    Activations Density 0.000%

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