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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. 7459
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    INDEX
    Explanations
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    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
    actionDate
    -0.78
    raq
    -0.73
    ritten
    -0.65
    script
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    Sov
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    ifications
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    ulates
    -0.62
    âĢ¢âĢ¢
    -0.62
    itten
    -0.62
    cards
    -0.61
    POSITIVE LOGITS
    emouth
    0.85
     occas
    0.73
     proble
    0.73
    nces
    0.70
    ETS
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    nz
    0.70
     mosqu
    0.67
    swick
    0.67
     surv
    0.67
     eleph
    0.66
    Activations Density 0.000%

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