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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. 0-RES-JB
    11. 6210
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ITNESS
    -0.78
    displayText
    -0.78
    ãĥīãĥ©
    -0.74
    ãĥĺ
    -0.74
     Strike
    -0.73
     Wage
    -0.71
    ãĥ´
    -0.70
    代
    -0.69
    ãĥ¼ãĤ¯
    -0.69
    20439
    -0.67
    POSITIVE LOGITS
     magnets
    0.70
    wcs
    0.70
     continent
    0.65
     Liberals
    0.65
    Ħ¢
    0.64
     Galile
    0.64
     Rowling
    0.64
     spoilers
    0.62
     moons
    0.61
     gravy
    0.61
    Activations Density 0.000%

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