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    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. 17058
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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
    Negative Logits
    atron
    -0.75
    pring
    -0.75
     Miko
    -0.73
    ãĤ¦
    -0.73
    ustain
    -0.70
    merce
    -0.70
     SPD
    -0.68
     Prices
    -0.67
    xit
    -0.64
    alogy
    -0.63
    POSITIVE LOGITS
    zan
    0.67
    zed
    0.66
    oji
    0.65
     assigned
    0.63
     shorthand
    0.62
    orthy
    0.61
    adj
    0.60
    uding
    0.60
    igible
    0.59
     undes
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.