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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. 5-RES-JB
    6. 2148
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     perspect
    -0.74
     racks
    -0.73
    Afee
    -0.72
     Canaver
    -0.71
     Akin
    -0.67
    nets
    -0.62
     stakes
    -0.60
     dismant
    -0.59
     awa
    -0.59
     sorts
    -0.58
    POSITIVE LOGITS
    itudinal
    0.81
    vid
    0.76
    gin
    0.72
    pid
    0.72
    gary
    0.68
    appa
    0.68
    ibrary
    0.66
    gex
    0.66
    algia
    0.64
    hran
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.