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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. 0-RES-JB
    11. 9661
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    illa
    -0.78
    XM
    -0.69
    lords
    -0.68
    heng
    -0.67
    Class
    -0.66
    League
    -0.64
    Craft
    -0.64
    lda
    -0.63
    duc
    -0.63
    henko
    -0.63
    POSITIVE LOGITS
     âĢ
    0.88
     complementary
    0.68
    Reviewer
    0.68
     Neh
    0.66
    atform
    0.65
    isSpecialOrderable
    0.63
     SNAP
    0.60
     bell
    0.60
     avail
    0.60
     interchangeable
    0.59
    Activations Density 0.000%

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