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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. 3925
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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
     bom
    -0.68
    minist
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    erno
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     gib
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     confir
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    atche
    -0.65
    oslav
    -0.63
    erville
    -0.62
     craw
    -0.58
    rang
    -0.57
    POSITIVE LOGITS
    gyn
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    kefeller
    0.66
    ãĤī
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    pload
    0.64
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    âķIJâķIJ
    0.63
    shi
    0.61
    vous
    0.61
     pairing
    0.60
    mega
    0.60
    Activations Density 0.000%

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