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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. 14718
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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
    éĸ
    -0.79
    ©¶æ¥µ
    -0.75
    hett
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    NRS
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    NetMessage
    -0.67
     largeDownload
    -0.65
    utenberg
    -0.64
    idem
    -0.64
    odan
    -0.63
     Found
    -0.61
    POSITIVE LOGITS
    Quantity
    0.79
    orno
    0.70
    raviolet
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    rw
    0.68
    runtime
    0.67
    eers
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    theless
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    density
    0.66
    pite
    0.65
    frac
    0.65
    Activations Density 0.000%

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