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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. 9664
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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
    imedia
    -0.76
    ropri
    -0.72
    authorized
    -0.68
    ulsion
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    cules
    -0.67
     toast
    -0.66
    asted
    -0.66
    untled
    -0.65
     hire
    -0.65
    ager
    -0.65
    POSITIVE LOGITS
    hart
    0.69
    ZA
    0.68
    nah
    0.66
    tha
    0.65
    _-
    0.64
    FINE
    0.62
    ;;;;;;;;;;;;
    0.62
     ACTION
    0.61
    Lewis
    0.60
     Yin
    0.60
    Activations Density 0.000%

    No Known Activations

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