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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. 1-RES-JB
    11. 574
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     nep
    -0.74
    BN
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     hemor
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    DERR
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    OGR
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     anecd
    -0.67
    umbn
    -0.66
     Seym
    -0.65
    NK
    -0.64
    BW
    -0.63
    POSITIVE LOGITS
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    0.71
    cé
    0.67
    çļ
    0.66
    én
    0.66
     Tempest
    0.65
    itia
    0.65
     Hels
    0.64
     Parade
    0.64
    rell
    0.63
     incarn
    0.63
    Activations Density 0.000%

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