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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. 0-RES-JB
    11. 15147
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ahan
    -0.82
     Hots
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    org
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     Trends
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     Malf
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     SAR
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     Maid
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     trends
    -0.57
    AAA
    -0.57
     Crunch
    -0.56
    POSITIVE LOGITS
    hen
    1.00
    he
    1.00
    hene
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    hed
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     yet
    0.90
    ched
    0.84
    hes
    0.84
    hens
    0.81
    yet
    0.81
    htaking
    0.80
    Activations Density 0.000%

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