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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. 9081
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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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    swer
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    atever
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     withd
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     agre
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    abwe
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    wana
    -0.74
    onite
    -0.72
    etheless
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     Seym
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    heit
    -0.70
    POSITIVE LOGITS
     rehearsal
    0.73
     rehe
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    bands
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    press
    0.64
     training
    0.63
    Netflix
    0.63
     mentors
    0.63
    rones
    0.62
     festivals
    0.62
     Pokemon
    0.61
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