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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. 8512
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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
     ACTIONS
    -0.73
     nep
    -0.60
     mounts
    -0.57
     planetary
    -0.57
     stabilization
    -0.57
     Jinn
    -0.57
    dan
    -0.56
    bows
    -0.56
     Pry
    -0.56
    flight
    -0.55
    POSITIVE LOGITS
    ateful
    0.75
    lete
    0.67
    cigarettes
    0.66
    acist
    0.66
    amacare
    0.65
    ntil
    0.63
    icum
    0.62
    Semitism
    0.62
    onsequ
    0.61
    ©¶æ¥µ
    0.61
    Activations Density 0.000%

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