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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. 2507
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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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    orsche
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    pb
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    ADRA
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    rift
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    SHIP
    -0.66
    dk
    -0.66
    tty
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    mitting
    -0.65
    ypes
    -0.65
    POSITIVE LOGITS
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    0.68
     Green
    0.63
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    0.61
    uyomi
    0.60
     Gle
    0.59
    ropri
    0.58
     Conservation
    0.58
     Provincial
    0.58
     swath
    0.57
    Activations Density 0.000%

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