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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. 16266
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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
    hyde
    -0.81
    abal
    -0.70
    amount
    -0.66
     stink
    -0.63
    fo
    -0.63
    hran
    -0.63
    warts
    -0.62
    xual
    -0.61
     litter
    -0.61
     hoax
    -0.60
    POSITIVE LOGITS
    CM
    0.75
    âĸ¬âĸ¬
    0.75
    MM
    0.74
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.73
    "},
    0.70
    adding
    0.70
    catentry
    0.69
    GS
    0.68
    OSP
    0.68
    encer
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.