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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. 17969
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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
     emer
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     antitrust
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     manufact
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     conscious
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     democratic
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    ufact
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    wcs
    -0.62
     benevolent
    -0.61
    ennial
    -0.61
     patriarchal
    -0.60
    POSITIVE LOGITS
    Kings
    0.79
    requ
    0.72
     Devils
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    )=
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    arters
    0.69
     Rats
    0.68
    camp
    0.67
     Chun
    0.67
     Cats
    0.67
    /+
    0.67
    Activations Density 0.000%

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