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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 8149
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    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    une
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    apter
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    ested
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    inguished
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    oos
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    ampires
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    mosp
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    busters
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    ichick
    -0.63
    POSITIVE LOGITS
    ETA
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    ña
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    ĵĺ
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     recreational
    0.65
     referen
    0.63
     fundamentals
    0.63
    YE
    0.62
     convenience
    0.61
     operator
    0.60
     smoother
    0.59
    Activations Density 0.000%

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