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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. 2-RES-JB
    11. 454
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    yre
    -0.66
     Moor
    -0.63
    enance
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     guiActiveUn
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     Paste
    -0.60
    hran
    -0.60
    @@@@
    -0.60
    rolog
    -0.59
    âĸĵ
    -0.59
    pec
    -0.58
    POSITIVE LOGITS
    sized
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    luster
    0.77
    cert
    0.74
    level
    0.73
    esque
    0.72
    interstitial
    0.71
    etz
    0.71
    azy
    0.71
    edition
    0.70
    member
    0.70
    Activations Density 0.000%

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