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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. 1686
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    INDEX
    Explanations
    No Explanations Found
    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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    Negative Logits
    ÃŁ
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     Geh
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    ttle
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     Wiki
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    ube
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     Puzzles
    -0.65
    Pros
    -0.63
    zu
    -0.63
    hoe
    -0.62
    rade
    -0.60
    POSITIVE LOGITS
    hook
    0.77
    enser
    0.75
    advertising
    0.64
     quir
    0.63
    acted
    0.62
    confidence
    0.62
    notations
    0.61
    flags
    0.60
     luck
    0.60
    arkable
    0.60
    Activations Density 0.000%

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