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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. 1-RES-JB
    6. 18097
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iesta
    -0.75
     Alger
    -0.70
    llers
    -0.69
    ulp
    -0.68
    Ł
    -0.66
    åĤ
    -0.66
     {\
    -0.64
    Hour
    -0.64
    vernment
    -0.63
     Bulg
    -0.63
    POSITIVE LOGITS
     NEC
    0.73
    MK
    0.68
    bridge
    0.66
    IPS
    0.62
    UC
    0.61
    PF
    0.60
    kens
    0.60
     HOT
    0.59
     Kens
    0.58
    ipal
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.