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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. 806
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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
    é¾įå¥ij士
    -0.76
    éļ
    -0.71
     apologised
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     [*
    -0.68
    announced
    -0.67
    aneers
    -0.65
     acknow
    -0.65
    mas
    -0.64
     âĶľ
    -0.64
    ango
    -0.63
    POSITIVE LOGITS
     Myst
    0.67
     Deity
    0.67
     Sphere
    0.65
     Dictionary
    0.65
    Fax
    0.64
     Demon
    0.64
    unct
    0.62
     Physics
    0.62
    inth
    0.62
    igue
    0.62
    Activations Density 0.000%

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