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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. 8768
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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
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    Negative Logits
     accommodations
    -0.72
    brate
    -0.70
    OULD
    -0.68
     footsteps
    -0.66
     Devices
    -0.66
    craft
    -0.64
    books
    -0.63
    bring
    -0.62
    lings
    -0.62
    knit
    -0.62
    POSITIVE LOGITS
    bern
    0.88
    verse
    0.75
    sein
    0.75
    nell
    0.72
    «ĺ
    0.71
    iffe
    0.70
    Merit
    0.69
    aiman
    0.68
    usterity
    0.68
     sucker
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.