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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. 12962
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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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    Negative Logits
    zon
    -0.74
    fb
    -0.68
    >[
    -0.68
    achev
    -0.67
    yip
    -0.64
    vc
    -0.64
    jit
    -0.64
    fw
    -0.64
    FACE
    -0.64
     liking
    -0.62
    POSITIVE LOGITS
     situ
    0.66
     Instruments
    0.62
    Bat
    0.61
    anded
    0.61
     Corpus
    0.60
    ctica
    0.60
     Sabb
    0.60
    acent
    0.60
    igsaw
    0.60
    ieg
    0.60
    Activations Density 0.000%

    No Known Activations

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