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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. 1995
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    INDEX
    Explanations
    No Explanations Found
    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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    desktop
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    pson
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    asha
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    terness
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    comings
    -0.66
    currently
    -0.66
     jud
    -0.66
    angible
    -0.65
    earchers
    -0.63
    POSITIVE LOGITS
    obs
    0.70
    worthy
    0.69
    culosis
    0.65
     Rescue
    0.64
    76561
    0.63
    obby
    0.62
     Unloaded
    0.61
    yk
    0.58
     Eternal
    0.57
    andom
    0.57
    Activations Density 0.000%

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