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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. 0-RES-JB
    6. 17532
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     speaker
    -0.67
     honour
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     convict
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     Wr
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     Advocate
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     Lump
    -0.63
     Ecc
    -0.62
    ï¸
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     Ancient
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     Sovere
    -0.61
    POSITIVE LOGITS
    ahime
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    igree
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    ensen
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    aneers
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    yrinth
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    erella
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    yahoo
    0.79
    merce
    0.79
    imi
    0.78
    anya
    0.78
    Activations Density 0.000%

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