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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. 6932
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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
    FIELD
    -0.73
     gravy
    -0.73
     infer
    -0.71
    OPLE
    -0.69
    âĶģ
    -0.65
     empath
    -0.64
    BUR
    -0.64
     esp
    -0.61
    ADD
    -0.61
    ystem
    -0.59
    POSITIVE LOGITS
    aido
    0.90
    ĸļ
    0.83
    htaking
    0.77
    ripp
    0.75
    isance
    0.73
     Sew
    0.71
    erella
    0.70
    Vis
    0.69
    etr
    0.69
    senal
    0.68
    Activations Density 0.000%

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