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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. 19892
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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
    Not in Any Lists

    No Comments

    Negative Logits
    cin
    -0.84
    Fourth
    -0.77
    road
    -0.74
    ÄŁ
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    agram
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    cius
    -0.69
     Crusade
    -0.68
    orum
    -0.67
    Bas
    -0.66
    enko
    -0.66
    POSITIVE LOGITS
    mbuds
    0.78
     CLR
    0.69
     lan
    0.67
    merce
    0.65
     commenters
    0.65
    swer
    0.64
    onder
    0.64
    igators
    0.64
     Nanto
    0.63
    emporary
    0.62
    Activations Density 0.000%

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