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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. 2-RES-JB
    6. 16402
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    umerable
    -0.76
    agall
    -0.74
    bern
    -0.74
    erate
    -0.74
    ashtra
    -0.68
    brow
    -0.67
    sta
    -0.67
    Desktop
    -0.66
    aeda
    -0.65
    ui
    -0.65
    POSITIVE LOGITS
    arsity
    0.70
     suspicion
    0.66
     Constable
    0.66
     Legions
    0.66
     Jagu
    0.66
     underdog
    0.62
     Briggs
    0.62
     mistrust
    0.61
     adoptive
    0.60
     Dragonbound
    0.60
    Activations Density 0.000%

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