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    1. Home
    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. 13551
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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
    rick
    -0.77
     Underground
    -0.74
    anu
    -0.72
    umper
    -0.69
     Torch
    -0.66
    rawler
    -0.66
    ricks
    -0.65
     JR
    -0.63
     Ng
    -0.63
     Poor
    -0.62
    POSITIVE LOGITS
    actionDate
    0.88
     withdrawals
    0.77
     guiActiveUnfocused
    0.76
     simultane
    0.73
    ciation
    0.72
    rencies
    0.72
     retri
    0.72
     negatives
    0.70
     streng
    0.69
     Lauder
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.