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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 17552
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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

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    Negative Logits
    rint
    -0.71
    iquette
    -0.71
    ounce
    -0.71
    nat
    -0.69
    SUP
    -0.68
    umerable
    -0.68
    eatures
    -0.66
    keley
    -0.66
    absor
    -0.65
    turn
    -0.65
    POSITIVE LOGITS
    ²¾
    0.81
     Daesh
    0.76
     Guan
    0.73
    ackle
    0.72
    backer
    0.71
    ®
    0.71
    catentry
    0.71
    irus
    0.68
     é
    0.68
    lla
    0.66
    Activations Density 0.000%

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