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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. 16915
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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
    Leary
    -0.72
    trak
    -0.71
    eness
    -0.70
    lees
    -0.68
    irin
    -0.66
    )].
    -0.66
    itiz
    -0.66
    ifest
    -0.66
    ance
    -0.65
    ],[
    -0.62
    POSITIVE LOGITS
    _-
    0.72
    gpu
    0.71
    tim
    0.68
     whatsoever
    0.65
    galitarian
    0.65
    ITED
    0.65
     resorted
    0.64
    hedral
    0.64
     Fiat
    0.61
    assembled
    0.60
    Activations Density 0.000%

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