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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. 4-RES-JB
    11. 10264
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Redmond
    -0.84
    stood
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     guiActive
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    yout
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    reply
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     horr
    -0.64
    Redditor
    -0.62
     Kardash
    -0.61
    天
    -0.61
     Sask
    -0.60
    POSITIVE LOGITS
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    ppelin
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    dom
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    roleum
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    cheon
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    tery
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    ugal
    0.70
    alus
    0.69
    ched
    0.69
    enario
    0.69
    Activations Density 0.000%

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