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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 18901
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     critically
    -0.78
     constitu
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    aughed
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    acus
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    aminer
    -0.68
    romeda
    -0.68
    aukee
    -0.67
    incinn
    -0.66
    riter
    -0.65
    ratulations
    -0.65
    POSITIVE LOGITS
    gap
    0.71
    ̶
    0.69
    fet
    0.65
    window
    0.65
     displays
    0.63
     headsets
    0.62
    Zone
    0.62
    endered
    0.61
    ahime
    0.61
     pores
    0.60
    Activations Density 0.000%

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