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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. 4-RES-JB
    11. 12166
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    emort
    -1.04
    risome
    -0.71
     Administ
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    inarily
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    ecast
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     Democr
    -0.64
    ritical
    -0.63
    iann
    -0.62
    photos
    -0.61
     nu
    -0.61
    POSITIVE LOGITS
    leon
    0.76
    Higher
    0.69
    geon
    0.66
    Submit
    0.65
    le
    0.64
    Finish
    0.64
    ettle
    0.62
    Contin
    0.60
    geons
    0.59
    rus
    0.59
    Activations Density 0.000%

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