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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. 3-RES-JB
    6. 22208
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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
    Accessory
    -0.76
    leness
    -0.69
    Afee
    -0.68
    ··
    -0.66
    Frag
    -0.65
     hy
    -0.64
    attribute
    -0.64
    Ward
    -0.64
    pering
    -0.64
     Wraith
    -0.64
    POSITIVE LOGITS
    esar
    0.81
    ancial
    0.79
    aced
    0.74
    ARDS
    0.74
    awks
    0.72
    wcs
    0.70
    tarian
    0.67
     trusts
    0.67
    agle
    0.65
    iated
    0.65
    Activations Density 0.000%

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