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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. 15089
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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
     muscular
    -0.73
     hay
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    amin
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     fodder
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     calibrated
    -0.67
     jug
    -0.66
     mechan
    -0.65
     peripheral
    -0.65
     fever
    -0.64
     prepar
    -0.64
    POSITIVE LOGITS
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    ĺħ
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    terms
    0.71
    sburgh
    0.71
    orno
    0.71
    icago
    0.70
    ilib
    0.69
    Activations Density 0.000%

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