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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. 8304
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    INDEX
    Explanations
    No Explanations Found
    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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    enhagen
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    otte
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    aterasu
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    amiya
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    ouver
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    zyk
    -0.70
    aturday
    -0.69
    arella
    -0.67
    \-
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    likely
    -0.67
    POSITIVE LOGITS
    itialized
    0.74
    Dex
    0.68
    20439
    0.64
    itar
    0.63
     jaws
    0.62
     Mutant
    0.61
     Flavoring
    0.59
    Cam
    0.59
    jected
    0.58
     arthritis
    0.56
    Activations Density 0.000%

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