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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. 3077
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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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    Negative Logits
     Signed
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     vein
    -0.67
     pickup
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     mix
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    Guard
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    vers
    -0.62
     Serve
    -0.61
     Pride
    -0.61
     Defenders
    -0.61
     buildup
    -0.60
    POSITIVE LOGITS
    ivable
    0.79
    ulia
    0.79
    thora
    0.74
     Flavoring
    0.73
    tml
    0.73
    ĸļ
    0.69
    ifax
    0.67
    JM
    0.67
    ived
    0.66
    ideo
    0.66
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