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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. 5979
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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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    robe
    -0.77
     Films
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    soc
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     Crom
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    lance
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    plates
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    nam
    -0.59
     Brah
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    abouts
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     Cre
    -0.58
    POSITIVE LOGITS
    NetMessage
    0.72
    ucket
    0.64
    isSpecialOrderable
    0.64
    resh
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    jon
    0.63
    ulously
    0.62
    thodox
    0.62
    Fel
    0.62
    efully
    0.62
     surpr
    0.61
    Activations Density 0.000%

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