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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. 1433
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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
    Not in Any Lists

    No Comments

    Negative Logits
     prove
    -0.67
    rils
    -0.66
    chin
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    ¤
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    Âł
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     lifts
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     conceal
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     borrow
    -0.58
    ĸļ
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     overlook
    -0.58
    POSITIVE LOGITS
    wards
    0.80
    actionDate
    0.75
    aster
    0.72
    pires
    0.72
    ivery
    0.68
     mosqu
    0.67
    roads
    0.67
    urate
    0.66
     adolesc
    0.65
    effic
    0.64
    Activations Density 0.000%

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