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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. 5943
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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
    estern
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    practice
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    rack
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    aq
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     notebooks
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    ancies
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    pering
    -0.67
     lapt
    -0.66
    lap
    -0.66
    pson
    -0.66
    POSITIVE LOGITS
     Unknown
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    =-=-=-=-
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    0002
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     eth
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     refine
    0.65
    ERY
    0.62
    ãĤ´ãĥ³
    0.59
     Shutterstock
    0.58
     owes
    0.57
    ======
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    Activations Density 0.000%

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