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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. 132
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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
    minist
    -0.74
     hind
    -0.73
    estern
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    ifference
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    unction
    -0.67
    ependence
    -0.66
    alion
    -0.63
    geries
    -0.61
     ordinance
    -0.60
    rued
    -0.60
    POSITIVE LOGITS
    irez
    0.84
    é¾įå
    0.70
    Plex
    0.67
    天
    0.67
    kins
    0.66
    ã쮿
    0.64
    KK
    0.64
    YP
    0.63
    éĸ
    0.63
    Medic
    0.62
    Activations Density 0.000%

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