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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. 3-RES-JB
    11. 8113
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    INDEX
    Explanations
    No Explanations Found
    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
    ites
    -0.77
     toler
    -0.69
     preferred
    -0.66
     cond
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     zo
    -0.65
    acter
    -0.64
     spreads
    -0.64
    eway
    -0.63
    oos
    -0.63
     favoured
    -0.63
    POSITIVE LOGITS
    allery
    0.79
    audio
    0.76
    Ó
    0.74
    lio
    0.73
    gp
    0.70
    wcsstore
    0.70
    Rew
    0.69
    utsche
    0.69
    ë
    0.69
    store
    0.68
    Activations Density 0.000%

    No Known Activations

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