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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. 10605
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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
    obal
    -0.66
    FN
    -0.64
     outsider
    -0.62
    NF
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    amines
    -0.59
    nered
    -0.59
    nikov
    -0.58
    head
    -0.58
    awatts
    -0.58
    ERG
    -0.58
    POSITIVE LOGITS
    ESA
    0.75
     Exper
    0.68
     Discord
    0.67
     Scand
    0.67
     Leeds
    0.66
     Tos
    0.65
     Yorkshire
    0.64
    tis
    0.63
     Argon
    0.63
     Auth
    0.63
    Activations Density 0.000%

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