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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. 2-RES-JB
    6. 105
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vag
    -0.77
     liner
    -0.74
     bun
    -0.73
    ignt
    -0.71
     Leilan
    -0.69
     mound
    -0.67
    isy
    -0.65
     rooft
    -0.65
     festive
    -0.64
     nav
    -0.64
    POSITIVE LOGITS
    ctor
    0.88
     âĸº
    0.75
     Saunders
    0.72
    icipated
    0.69
    essor
    0.69
    eker
    0.68
    room
    0.68
    âĢİ
    0.68
    ÏĦ
    0.67
     Rule
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.