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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. 8205
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    INDEX
    Explanations
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    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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    -0.66
    les
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    angan
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    position
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    ·
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    Secure
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    quant
    -0.59
    âĨij
    -0.58
    *:
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    ixed
    -0.58
    POSITIVE LOGITS
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    istically
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    iewicz
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    Downloadha
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    oubted
    0.71
     Impossible
    0.68
     CW
    0.68
     BCC
    0.64
    jc
    0.63
    Activations Density 0.000%

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