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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. 15805
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    INDEX
    Explanations
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    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
    error
    -0.78
     refrain
    -0.71
    iscal
    -0.69
    vice
    -0.68
     dodged
    -0.65
     XCOM
    -0.64
    uld
    -0.64
    arning
    -0.64
    verbs
    -0.63
    und
    -0.62
    POSITIVE LOGITS
    adr
    0.76
    andem
    0.76
    geon
    0.73
    NAS
    0.73
    DragonMagazine
    0.72
     STL
    0.70
    spread
    0.66
    odon
    0.66
    EMP
    0.64
    comings
    0.64
    Activations Density 0.000%

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