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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. 9904
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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
    rates
    -0.87
    ipers
    -0.69
    rate
    -0.67
    strength
    -0.65
    rations
    -0.63
    ockey
    -0.61
    adal
    -0.60
     Adamant
    -0.59
    ommel
    -0.58
     volumes
    -0.57
    POSITIVE LOGITS
    haw
    0.86
    cknow
    0.76
    AMY
    0.75
    merce
    0.72
    cknowled
    0.71
    hirt
    0.68
    hur
    0.66
    ylum
    0.64
    punk
    0.64
    irgin
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.