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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. 23958
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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
     ABE
    -0.66
    ELF
    -0.64
    glers
    -0.63
    dn
    -0.63
    nesia
    -0.62
    hammad
    -0.60
     mum
    -0.60
     decad
    -0.59
    çͰ
    -0.59
    Jose
    -0.57
    POSITIVE LOGITS
    geist
    0.69
    ollar
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    10000
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    200000
    0.67
     [*]
    0.65
     Gener
    0.65
     Miko
    0.64
     Rarity
    0.64
    1100
    0.64
    00000
    0.64
    Activations Density 0.000%

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