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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. 1-RES-JB
    11. 3584
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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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    Negative Logits
    sonian
    -0.63
    FTWARE
    -0.62
    Constructed
    -0.60
    eco
    -0.59
    Cap
    -0.58
    edly
    -0.58
    Berry
    -0.57
    ANS
    -0.57
    Bey
    -0.57
    EEE
    -0.56
    POSITIVE LOGITS
    rez
    0.71
     Saur
    0.70
    qt
    0.67
    ctica
    0.66
    abouts
    0.64
     Favor
    0.63
    lyak
    0.62
     Prep
    0.61
     Replay
    0.60
    ivalent
    0.60
    Activations Density 0.000%

    No Known Activations

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