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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 726
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    vice
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    avis
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    har
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    ======
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    eds
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    ithe
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    href
    -0.64
    eline
    -0.64
    steps
    -0.63
    Spread
    -0.63
    POSITIVE LOGITS
    gaard
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    NT
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    bilt
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     Mond
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     Democr
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    encia
    0.64
     Lear
    0.63
    ELF
    0.62
    gob
    0.62
     Dent
    0.62
    Activations Density 0.000%

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