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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. 20385
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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
    ivation
    -0.71
     temptation
    -0.68
    ilyn
    -0.68
     challeng
    -0.67
    mot
    -0.66
     deterrence
    -0.64
     scrutiny
    -0.63
     Bust
    -0.62
     retribution
    -0.62
    peror
    -0.61
    POSITIVE LOGITS
    ibles
    0.73
    DAQ
    0.71
    Global
    0.68
     dstg
    0.66
    TABLE
    0.66
    hower
    0.65
    ATHER
    0.65
    Ãį
    0.64
    global
    0.64
    La
    0.63
    Activations Density 0.000%

    No Known Activations

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