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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. 3-RES-JB
    11. 4854
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    pring
    -0.75
    inav
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    ãģ®å®
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     Torch
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     PW
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    utical
    -0.64
    ource
    -0.61
    ITNESS
    -0.61
    hare
    -0.60
     EMP
    -0.60
    POSITIVE LOGITS
    ily
    0.69
    withstanding
    0.65
    stellar
    0.64
    arant
    0.62
    Gaza
    0.62
    activ
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    quest
    0.61
    etheless
    0.61
     sensit
    0.60
     BDS
    0.60
    Activations Density 0.000%

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