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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. 1-RES-JB
    11. 22369
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ò
    -0.74
    ufact
    -0.71
    ãĤ´
    -0.69
    FORM
    -0.69
    forms
    -0.68
     Schne
    -0.67
     glob
    -0.67
    fits
    -0.65
    д
    -0.65
     $(
    -0.65
    POSITIVE LOGITS
    xual
    0.74
    reci
    0.73
    yre
    0.69
    ģ«
    0.68
    ira
    0.67
    oya
    0.66
    erity
    0.65
    weekly
    0.65
    ORY
    0.64
    affer
    0.64
    Activations Density 0.000%

    No Known Activations

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