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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. 18428
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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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    VERTISEMENT
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    ))))
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    EStream
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     Neuroscience
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     Chess
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    EStreamFrame
    -0.66
     monet
    -0.66
    jri
    -0.66
     guiActiveUn
    -0.66
     cue
    -0.65
    POSITIVE LOGITS
    aints
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    eless
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    cluding
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    pport
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    ãĤ¦ãĤ¹
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    Poll
    0.67
    304
    0.64
    asty
    0.64
    atter
    0.63
    Miss
    0.63
    Activations Density 0.000%

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    This feature has no known activations.