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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. 2-RES-JB
    11. 17540
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

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    Negative Logits
    mington
    -0.73
    minster
    -0.70
    itous
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    olean
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    ãĤ´ãĥ³
    -0.69
     abound
    -0.68
     msec
    -0.66
    sonian
    -0.65
    amer
    -0.65
     spons
    -0.64
    POSITIVE LOGITS
    orio
    0.76
     DEFENSE
    0.68
    iseum
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    una
    0.63
    odore
    0.59
     pilgr
    0.59
    inion
    0.58
     dairy
    0.57
    EStream
    0.57
     meats
    0.57
    Activations Density 0.000%

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