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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. 13526
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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
    ection
    -0.74
     triv
    -0.74
    pring
    -0.69
    ãĤ¡
    -0.68
    afe
    -0.65
    ¿½
    -0.65
    earch
    -0.63
    792
    -0.62
    aband
    -0.62
    773
    -0.61
    POSITIVE LOGITS
    yss
    0.97
    ren
    0.86
    merce
    0.72
    Ga
    0.64
    Fail
    0.64
     Cycle
    0.63
    Phys
    0.63
    Review
    0.62
     hunter
    0.61
    olyn
    0.61
    Activations Density 0.000%

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