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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. 483
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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
    asio
    -0.89
    ADD
    -0.81
    UES
    -0.79
    atech
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    acea
    -0.76
    izen
    -0.76
    IB
    -0.75
    IFIED
    -0.74
    ige
    -0.73
    aic
    -0.72
    POSITIVE LOGITS
     coerc
    0.78
     nipples
    0.74
     liberating
    0.72
     tongues
    0.72
     necks
    0.70
     paddle
    0.70
     ape
    0.69
     ensl
    0.69
     lasers
    0.68
     unsafe
    0.67
    Activations Density 0.000%

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