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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. 2464
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    INDEX
    Explanations
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    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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    Negative Logits
    ¶ħ
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    pmwiki
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    Downloadha
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    Ĵ
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    «ĺ
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    HOME
    -0.70
     Genie
    -0.69
     Poverty
    -0.69
    ı
    -0.69
    Ī
    -0.67
    POSITIVE LOGITS
     probabilities
    0.73
     bishop
    0.69
     diagram
    0.68
    gui
    0.68
     syndrome
    0.66
    baugh
    0.65
    lation
    0.65
     sender
    0.65
     receipts
    0.65
     manif
    0.64
    Activations Density 0.000%

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