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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. 3-RES-JB
    11. 9539
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    INDEX
    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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    ãĥİ
    -0.76
     Photograph
    -0.73
    wcsstore
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    rooms
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     Wonderland
    -0.65
    Lic
    -0.64
    tests
    -0.64
    natureconservancy
    -0.64
    retty
    -0.62
     Refuge
    -0.62
    POSITIVE LOGITS
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    0.75
    gered
    0.69
    oing
    0.64
     isEnabled
    0.62
    sov
    0.61
    ptive
    0.61
     knit
    0.60
    à¦
    0.60
     ÙĪ
    0.59
    ho
    0.59
    Activations Density 0.000%

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