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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 5458
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    NAS
    -0.89
    Medic
    -0.81
    ãĥĨãĤ£
    -0.76
    rosso
    -0.75
    Ult
    -0.74
    ãĤ¼ãĤ¦ãĤ¹
    -0.73
    Haw
    -0.69
    connected
    -0.69
     Married
    -0.69
    SEA
    -0.68
    POSITIVE LOGITS
     bottleneck
    0.84
     cane
    0.80
     broom
    0.74
     monk
    0.70
     handler
    0.69
     Ottoman
    0.68
     tourist
    0.68
     leash
    0.67
     frown
    0.67
     Buddhist
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.