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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. 5826
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    INDEX
    Explanations
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    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
     srf
    -0.73
     prehistoric
    -0.72
     parody
    -0.66
    agascar
    -0.64
     plunge
    -0.60
     sage
    -0.59
     raided
    -0.58
    obyl
    -0.58
     yog
    -0.58
     Azerb
    -0.57
    POSITIVE LOGITS
    adding
    0.83
    glers
    0.77
    isers
    0.77
    Driver
    0.70
    ubs
    0.67
    cash
    0.65
    istors
    0.64
    Output
    0.64
    åĬ
    0.63
    upon
    0.63
    Activations Density 0.000%

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