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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. 4465
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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
     Borders
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    DOS
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    perture
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     Bones
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    processor
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    Topic
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    riz
    -0.62
     Unix
    -0.61
     Achievement
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    oshop
    -0.59
    POSITIVE LOGITS
    ľ
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    lando
    0.71
    quickShipAvailable
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     renters
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    Los
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     passers
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     unden
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     occupying
    0.66
    jug
    0.65
     roaming
    0.64
    Activations Density 0.000%

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