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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. 16809
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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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    Negative Logits
     coerc
    -0.82
    rawdownloadcloneembedreportprint
    -0.78
     rusty
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     knees
    -0.71
    ãĥ¯ãĥ³
    -0.70
     gobl
    -0.69
     prest
    -0.69
     âĶľ
    -0.66
     faithful
    -0.66
     polymer
    -0.65
    POSITIVE LOGITS
    cens
    0.80
    nel
    0.74
     Lup
    0.72
    hod
    0.72
    brush
    0.70
    iHUD
    0.69
    lus
    0.67
    uzz
    0.66
    lio
    0.65
    ilater
    0.65
    Activations Density 0.000%

    No Known Activations

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