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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. 7707
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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
    checking
    -0.75
    wa
    -0.70
    Wa
    -0.69
     Moose
    -0.69
    holm
    -0.68
    butt
    -0.68
    Els
    -0.67
    chance
    -0.67
    fee
    -0.67
    Bad
    -0.66
    POSITIVE LOGITS
     guiActiveUn
    0.77
    osite
    0.77
     Pog
    0.69
     theaters
    0.68
    iple
    0.66
     philosophers
    0.66
    MSN
    0.65
    enery
    0.65
     speakers
    0.64
     transmit
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.