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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. 3900
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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
    iston
    -0.72
     Boyle
    -0.69
    achu
    -0.64
    ftime
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    olson
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    tx
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    ĺħ
    -0.62
    amel
    -0.61
    ç
    -0.58
     Tasman
    -0.58
    POSITIVE LOGITS
    ãĥį
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    grain
    0.65
     Fraud
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    aways
    0.63
    Ger
    0.62
    Pattern
    0.61
     Tradable
    0.61
    IBLE
    0.60
    onymous
    0.59
    http
    0.59
    Activations Density 0.000%

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