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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. 7573
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    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
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    -0.76
    andem
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    endi
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    gem
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    oru
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    irs
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    bats
    -0.65
    ollen
    -0.64
    ouf
    -0.64
    leck
    -0.64
    POSITIVE LOGITS
    çͰ
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    女
    0.83
    ossibility
    0.77
    votes
    0.72
    actionDate
    0.71
     Rite
    0.69
    ¶ħ
    0.69
     cir
    0.66
    Ñĭ
    0.64
    essee
    0.63
    Activations Density 0.000%

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