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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. 1-RES-JB
    11. 23185
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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
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    No Comments

    Negative Logits
    sonian
    -0.73
     extras
    -0.71
    ortium
    -0.69
    assad
    -0.67
    kef
    -0.67
    nan
    -0.67
    thro
    -0.66
    ogly
    -0.65
    onga
    -0.65
    oing
    -0.63
    POSITIVE LOGITS
     Burn
    0.70
     Fill
    0.68
     slopes
    0.65
     Deposit
    0.64
     Protective
    0.64
     Bicycle
    0.63
     bicycles
    0.63
    xe
    0.61
     tires
    0.61
    Fill
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.