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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. 1-RES-JB
    11. 14550
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hani
    -0.84
    VIDIA
    -0.77
    enegger
    -0.72
    âĺħâĺħ
    -0.71
    Introduced
    -0.68
    ividual
    -0.67
    oln
    -0.64
    DonaldTrump
    -0.64
    liam
    -0.64
    ellar
    -0.62
    POSITIVE LOGITS
    bowl
    0.75
    trap
    0.70
    atra
    0.68
    etus
    0.68
     bureau
    0.68
    fork
    0.66
     Rhythm
    0.66
     Gleaming
    0.65
    Loop
    0.65
     Loop
    0.64
    Activations Density 0.000%

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