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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. 1-RES-JB
    6. 11818
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    [/
    -0.74
    orem
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    ogg
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    ãĤ©
    -0.68
    adium
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     Guides
    -0.67
    ":[{"
    -0.67
    }}}
    -0.66
    ":{"
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     Quality
    -0.64
    POSITIVE LOGITS
    HER
    0.75
    NSA
    0.74
    immune
    0.72
    GROUP
    0.71
    LESS
    0.71
    upon
    0.71
     immune
    0.68
     sill
    0.67
    milo
    0.66
    court
    0.65
    Activations Density 0.000%

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