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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. 21207
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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
    zin
    -0.71
     empowerment
    -0.68
    ilings
    -0.68
     anatomical
    -0.68
     Pharma
    -0.67
     yoga
    -0.67
    ¥µ
    -0.67
    upuncture
    -0.66
    trak
    -0.66
    stem
    -0.64
    POSITIVE LOGITS
    \/\/
    0.70
    VP
    0.70
    FFER
    0.69
    FORM
    0.69
    hend
    0.67
    ãĥij
    0.66
    PASS
    0.66
    mia
    0.66
    RB
    0.66
    FB
    0.65
    Activations Density 0.000%

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