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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. 17307
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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
     comr
    -0.73
    viol
    -0.64
    alties
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    é¾įåĸļ士
    -0.62
     Rac
    -0.60
     Pixel
    -0.59
    staking
    -0.58
    Bow
    -0.58
    ocular
    -0.57
     Olymp
    -0.56
    POSITIVE LOGITS
    nen
    0.69
    batch
    0.68
    pressure
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    ulsion
    0.65
    doi
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    agher
    0.65
    cade
    0.62
     serum
    0.62
     ?)
    0.62
    Press
    0.62
    Activations Density 0.000%

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