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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. 0-RES-JB
    6. 14445
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    INDEX
    Explanations
    No Explanations Found
    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
    ventus
    -0.96
    ipeg
    -0.86
    psey
    -0.81
    Accessory
    -0.78
    liga
    -0.77
    etsk
    -0.77
    ixtape
    -0.73
    bery
    -0.72
    idas
    -0.72
    edin
    -0.71
    POSITIVE LOGITS
    ENSE
    0.63
    gerald
    0.62
    ENC
    0.58
    ISTORY
    0.58
     marrow
    0.56
     lifetime
    0.56
    esan
    0.56
     LIFE
    0.55
     oy
    0.55
     DOC
    0.55
    Activations Density 0.000%

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