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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. 14381
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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
    entric
    -0.78
    alach
    -0.73
     actionGroup
    -0.70
     guiActiveUnfocused
    -0.69
     streng
    -0.68
    sburgh
    -0.67
    edo
    -0.66
     ACTIONS
    -0.65
    appiness
    -0.63
    shape
    -0.63
    POSITIVE LOGITS
    £ı
    0.83
    endez
    0.78
    Gaza
    0.67
    enium
    0.66
    raph
    0.64
     Beir
    0.63
    JV
    0.63
    estone
    0.63
     intraven
    0.62
    thur
    0.61
    Activations Density 0.000%

    No Known Activations

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