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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. 1-RES-JB
    11. 2151
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ysis
    -0.86
     Cancel
    -0.78
     Riy
    -0.70
    iencies
    -0.68
    itially
    -0.68
    antly
    -0.67
    iasco
    -0.66
    namese
    -0.65
    awed
    -0.65
    itous
    -0.65
    POSITIVE LOGITS
    SourceFile
    0.76
    REE
    0.72
    boa
    0.71
    bour
    0.67
    ãĤ¼ãĤ¦ãĤ¹
    0.64
    GA
    0.63
    rowth
    0.62
    doing
    0.62
    atial
    0.61
    CLA
    0.61
    Activations Density 0.000%

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