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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 12851
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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
    ofi
    -0.75
     membr
    -0.63
     breathe
    -0.62
    piece
    -0.61
     Giles
    -0.60
     gou
    -0.59
     ape
    -0.59
     enlarg
    -0.59
    bringer
    -0.58
    èĢħ
    -0.58
    POSITIVE LOGITS
    weekly
    0.76
    Redditor
    0.75
    Alert
    0.73
    undown
    0.73
    VERTISEMENT
    0.70
    ARDS
    0.67
     Rx
    0.63
    Wallet
    0.63
    rams
    0.63
    warm
    0.62
    Activations Density 0.000%

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