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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. 6691
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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
    amorph
    -0.87
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    -0.84
    cyclopedia
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    agate
    -0.74
    uclear
    -0.73
    rift
    -0.73
    awaru
    -0.72
    orget
    -0.72
    atha
    -0.71
    POSITIVE LOGITS
     UX
    0.85
     CRA
    0.71
     Nice
    0.71
     EQ
    0.68
     TC
    0.67
     Meta
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     Smooth
    0.67
     Alpha
    0.67
     Gamma
    0.67
     Epic
    0.65
    Activations Density 0.000%

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